CN108454628B  A kind of driver turns to rolling optimization control method in people's vehicle collaboration of ring  Google Patents
A kind of driver turns to rolling optimization control method in people's vehicle collaboration of ring Download PDFInfo
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 CN108454628B CN108454628B CN201810342298.2A CN201810342298A CN108454628B CN 108454628 B CN108454628 B CN 108454628B CN 201810342298 A CN201810342298 A CN 201810342298A CN 108454628 B CN108454628 B CN 108454628B
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 238000006073 displacement reaction Methods 0.000 claims description 18
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 230000000875 corresponding Effects 0.000 claims description 9
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 238000004458 analytical method Methods 0.000 claims description 3
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Classifications

 B—PERFORMING OPERATIONS; TRANSPORTING
 B60—VEHICLES IN GENERAL
 B60W—CONJOINT CONTROL OF VEHICLE SUBUNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUBUNIT
 B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular subunit, e.g. of systems using conjoint control of vehicle subunits, or advanced driver assistance systems for ensuring comfort, stability and safety or drive control systems for propelling or retarding the vehicle
 B60W30/18—Propelling the vehicle
 B60W30/18009—Propelling the vehicle related to particular drive situations
 B60W30/18145—Cornering

 B—PERFORMING OPERATIONS; TRANSPORTING
 B60—VEHICLES IN GENERAL
 B60W—CONJOINT CONTROL OF VEHICLE SUBUNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUBUNIT
 B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular subunit, e.g. process diagnostic or vehicle driver interfaces

 B—PERFORMING OPERATIONS; TRANSPORTING
 B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
 B62D—MOTOR VEHICLES; TRAILERS
 B62D6/00—Arrangements for automatically controlling steering depending on driving conditions sensed and responded to, e.g. control circuits
 B62D6/002—Arrangements for automatically controlling steering depending on driving conditions sensed and responded to, e.g. control circuits computing target steering angles for front or rear wheels
Abstract
The present invention provides a kind of drivers to turn to rolling optimization control method in people's vehicle collaboration of ring, the specific steps are as follows: one, establish vehicle two degrees of freedom kinetic model and vehicle kinematics model；Two, it is determined using assessment of risks fuzzy logic and intervenes degree coefficient；Three, people's vehicle collaboration steering system model is established；Four, people's vehicle is carried out using model prediction method and cooperates with steering system controller design；Five, it carries out driving power distribution and calculating control amount completing control；This method can assist driver to operate in real time online when driver's driving is likely to occur danger, driver's operation can not be intervened in driver's normal operating vehicle, vehicle driving is at safety zone, driver possesses the absolute control of Vehicular turn, controller does not intervene the correct steering operation of driver completely, beyond intervention degree is determined according to driver's operation behavior and vehicle location in real time behind safety zone and cooperate with driver complete steering operation.
Description
Technical field
The invention belongs to car steering control field, be related to a kind of people's vehicle collaboration driving strategy, more specifically for, relate to
And a kind of consideration driver cooperates with rotating direction control method in people's vehicle of ring.
Background technique
As road is got on the car the increase of quantity, road traffic environment will be increasingly complicated, and human driver is in face of such
Numerous and complicated environment usually has negligence for the moment, easily causes traffic accident in this case, how to ensure driving
Member's safe driving automobile is a problem to be solved.Pilotless automobile be it is a kind of human driver from complicated driving task
The effective means to free.However, being developed advanced in the case where unmanned technology and not perfect relevant laws and regulations
People's vehicle Collaborative Control technology be to ensure driver drives vehicle highly effective approach safely.Currently, numerous researchers and automobile
Relevant enterprise puts into greatly enthusiasm in terms of people's vehicle cooperates with driving, is main mesh of the navigation automation under the present art
Mark.
In existing people's vehicle collaboration driving procedure driving behavior have personalized, the long fatiguability of driving time and it is difficult to predict
The characteristics of, while it is very weak to cope with unknown and dangerous working condition ability, how to ensure that driver pacifies under unknown and dangerous working condition
Full property is that the collaboration of people's vehicle drives and must solve the problems, such as.
Summary of the invention
The present invention is to solve the problems, such as driver's easy maloperation under unknown and dangerous working condition, proposes that one kind can entangle online
The collaboration of chief aviation pilot's maloperation turns to rolling optimization control method.
A kind of driver of the present invention turns to rolling optimization control method in people's vehicle collaboration of ring, is using following skill
What art scheme was realized:
It is a kind of to consider to drive people's vehicle collaboration rotating direction control method that power is distributed in real time, it is turned to based on a kind of driver and collaboration
Controller simultaneously in the driving mode of ring, under this kind of mode when the driving behavior of driver not when the error occurs, the driving of vehicle
Power is dominated by driver completely, driver's driving behavior when the error occurs, the driving weight of driver is reduced and is even reduced
To zero, turned to by collaboration steering controller auxiliary driver's Collaborative Control, which is characterized in that specific step is as follows for this method:
Step 1: establishing vehicle two degrees of freedom kinetic model and vehicle kinematics model:
Establish earth coordinates: origin O is consolidated in ground, and Xaxis is usually overlapped with vehicle initial motion direction, and Xaxis is along inverse
The direction that clockwise is rotated by 90 ° is that the positive direction of Yaxis establishes earth coordinates；
Establish vehicle axis system: using vehicle centroid o in vehicle dynamic model as coordinate origin, along the side of vehicle advance
To the positive direction for xaxis, xaxis is rotated in the counterclockwise direction 90 degree of direction and establishes vehicle axis system for the positive direction of yaxis；
With the relationship of the lateral movement of the control stability and vehicle of vehicle kinematics model characterization vehicle, and with vehicle two
Freedom degree kinetic model characterizes the relationship between the control stability of vehicle and the weaving of vehicle, and detailed process is as follows:
It is assumed that vehicle is a rigid body, vehicle fitting four will not the wheel that deformation occurs, and with crop rotation before vehicle
For deflecting roller, vehicle kinematics model such as formula (1) institute is obtained according to the geometrical relationship of vehicle kinematics equation and vehicle movement
Show:
X in formula_{o}For the length travel of vehicle centroid o, unit m；y_{o}For the lateral displacement of vehicle centroid o, unit m；V is vehicle
The speed of mass center, unit m/s；R is the yaw velocity of vehicle, unit rad/s；ψ is the course angle of vehicle, unit rad；β
For the side slip angle of vehicle, unit rad；
In view of the usual very little of the curvature of real road, course angle ψ is same when driving in this section of real road region for vehicle
Sample is considered very little, and the side slip angle β variation range of actually vehicle also very little, so having: sin (ψ+β) ≈ ψ+β,
Cos (ψ+β) ≈ 1, the vehicle kinematics model that convolution (1) can be simplified, as shown in formula (2):
This method is the purpose tracked by controlling the front wheel angle of vehicle come realizing route, and thinks that vehicle keeps even
Fast state traveling, according to Newton's second law and equalising torque relationship, can be obtained so only needing to consider the lateral movement of vehicle
The vehicle two degrees of freedom kinetic model as shown in formula (3):
V in formula_{x}For the longitudinal velocity at vehicle centroid, unit m/s；F_{yf}For vehicle frontwheel lateral force, unit N；F_{yr}For vehicle
Rearwheel lateral force, unit N；M is the quality of vehicle, units/kg；I_{z}It is vehicle around the rotary inertia of zaxis, units/kg m^{2}；A is
Distance of the vehicle centroid o to automobile frontaxle, unit m；B is distance of the vehicle centroid o to vehicle rear axle, unit m；δ_{f}Before vehicle
Take turns corner, unit rad；
The actual front wheel angle δ of vehicle_{f}Generally also very little can be approximately considered: cos δ_{f}≈ 1, sin δ_{f}≈ 0, therefore to formula
(3) simplified, shown in simplified vehicle two degrees of freedom kinetic model such as formula (4):
When the lateral tire force of vehicle is not up to saturated, the lateral tire force F of vehicle_{y}It approximate can regard as with slip angle of tire α and be in
Shown in linear relationship such as formula (5):
C in formula_{f}For the tire cornering stiffness of vehicle frontwheel, unit Nrad；C_{r}For the tire cornering stiffness of vehicle rear wheel,
Unit Nrad；α_{f}For the slip angle of tire of vehicle frontwheel, unit rad；α_{r}For the slip angle of tire of vehicle rear wheel, unit rad；
Under vehicle axis system, the slip angle of tire α of frontwheel_{f}With the slip angle of tire α of rearwheel_{r}Just like the relationship of formula (6):
Convolution (4), formula (5) and formula (6), arrangement can obtain shown in vehicle two degrees of freedom kinetic model such as formula (7):
Intervene degree coefficient Step 2: determining using assessment of risks fuzzy logic:
It is α and 0≤α≤1 that degree coefficient is intervened in definition, and intervening degree coefficient is by lateral to driving behavior and vehicle
Position Synthesis analysis obtains, if current time is k moment, driving behavior coefficient D_{h}Expression is as shown in formula (8):
Wherein δ_{h}(k) front wheel angle gone out for driver k moment decision, δ_{f}(k  k1) it is to solve k moment vehicle at the k1 moment
Front wheel angle, D_{h}For δ_{h}With δ_{f}The absolute value of the difference of (k  k1) is than upper δ_{h}With δ_{f}The maximum of the absolute value of the difference of (k  k1)
Value, D_{h}Value is bigger, and the extent of error for illustrating driver's operation is higher；
The lateral position parameter D of vehicle_{r}Shown in expression formula such as formula (9):
Wherein, y_{o}It (k) is the lateral displacement of k moment vehicle, r_{o}It (k) is k moment and y_{o}(k) road corresponding to identical x coordinate
The lateral displacement of Lu Zhizheng line, D_{r}For y_{o}(k) and r_{o}(k) absolute value of difference is than upper y_{o}(k) and r_{o}(k) absolute value of difference is most
Big value, D_{r}Value is bigger, and the degree for illustrating vehicle deviating road center line is higher；
By driving behavior coefficient D_{h}It is fuzzy to turn to 5 set: S_{h}, MS_{h}, M_{h}, MB_{h}, B_{h}；The lateral position parameter D of vehicle_{r}Mould
Gelatinization is 4 set: S_{r}, MS_{r}, M_{r}, B_{r}；By D_{h}Variation range is set as [0,1], the expression formula of subordinating degree function such as formula (10)
It is shown；By D_{h}Variation range is set as [0,1], shown in the expression formula of subordinating degree function such as formula (11)；
Equally intervention degree coefficient α is also obscured and turns to 5 set: S_{α}, MS_{α}, M_{α}, MB_{α}, B_{α}；Its corresponding degree of membership letter
Shown in number expression formula such as formula (12):
Specific fuzzy rule is as shown in table 1:
1 fuzzy reasoning table of table
Finally, obtaining the degree of membership for intervening degree coefficient α by tabling lookup, then it is subordinate to using the maximum in deblurring method
Degree method determines the value for intervening degree coefficient α；
Step 3: establishing people's vehicle collaboration steering system model:
Step 3 cooperates with steering system model to cooperate with steering system to be described in people's vehicle by establishing people's vehicle, by step 2
The current time that decision goes out intervenes degree coefficient α, the front wheel angle δ that acquisition driver's current time decision goes out_{h}, assisted by people's vehicle
With the auxiliary front wheel angle δ for current time people's vehicle collaboration steering system that steering system controller solves_{a}, after according still further to formula
(13) proportionate relationship provided is overlapped the frontwheel for going to vehicle:
δ_{f}=α δ_{h}+(1α)δ_{a} (13)
δ in formula_{a}The auxiliary frontwheel of steering system is cooperateed with for current time people's vehicle that people's vehicle cooperates with steering controller to solve
Corner, unit rad；δ_{h}For the front wheel angle that driver's current time decision goes out, unit rad；
Solve the auxiliary front wheel angle δ of current time people's vehicle collaboration steering system_{a}Afterwards, the superposition provided according to formula (13)
Relationship obtains current time vehicle front wheel angle δ_{f}As front wheel angle control amount；
Convolution (2), formula (7) and formula (13), due to lateral speed relative to longitudinal speed it is smaller can approximation regard v ≈ as
v_{x}, arrangement can obtain people's vehicle collaboration steering system model such as formula (14):
The people's vehicle cooperates with the lateral displacement y of steering system selection vehicle centroid o_{o}As the defeated of people's vehicle collaboration steering system
Out, while the auxiliary front wheel angle δ that people's vehicle cooperates with steering system is chosen_{a}Control as people's vehicle collaboration steering system system model
State vector x=[y is chosen in input_{o} ψ β r]^{T}, people's vehicle collaboration steering system model be described as the shape as shown in formula (15)
State space form:
Wherein A is sytem matrix, indicates the relationship of internal system state variable；B_{s}To control matrix, input variable is indicated
How state of a control variable；C is output matrix, indicates how output variable reflects state；B_{d}For constant term matrix；Each matrix
Expression formula is as follows:
C=[1 00 0]；
Step 4: carrying out people's vehicle using model prediction method cooperates with steering system controller design:
Cooperate with steering system model as the prediction of people's vehicle collaboration steering system controller design using people's vehicle in step 3
Model, people's vehicle cooperate with the auxiliary front wheel angle δ of steering system_{a}As the control input of people's vehicle collaboration steering system controller, if k
For current time, it is believed that vehicle speed in prediction time domain remains unchanged, and thinks the frontwheel that driver's current time decision goes out
Corner δ_{h}It is equally remained unchanged in prediction time domain, people's vehicle collaboration steering system model of formula (15) is subjected to discretization and obtains formula
(16):
In formulaC_{c}=C, T_{s}For sampling
Time, unit s；
People's vehicle, which cooperates with, predicts that time domain for P, controls time domain in the model prediction method used when steering system controller design
For N, and meet N≤P, the control input for controlling people's vehicle collaboration steering system controller except time domain remains unchanged, and passes through formula
(16) it can derive that people's vehicle cooperates with steering system controller state predictive equation such as formula (17):
Derive people's vehicle collaboration steering system controller output predictive equation such as formula (18):
Each moment people vehicle collaboration steering system controller control input δ in prediction time domain P is defined simultaneously_{a}Sequence U_{a}
(k), the front wheel angle δ that each moment decision of driver goes out in time domain P is predicted_{h}Sequence U_{h}(k), each moment is predicted in time domain P
Control output y_{o}Sequence U_{y}(k), the sequence R of each moment road axis lateral coordinates y in time domain P is predicted_{y}(k) it and predicts
Final front wheel angle δ of each moment in time domain P_{f}Sequence U (k), such as formula (19):
δ in formula_{h}(k+i) front wheel angle gone out for driver k+i moment decision, unit rad；δ_{f}(k+i) in prediction time domain
K+i moment vehicle front wheel angle, unit rad；X (k+i) be the k+i moment people's vehicle cooperate with steering system controller state to
Amount；y_{o}It (k+i) is the output of the steering assist system at k+i moment, the i.e. lateral position of vehicle centroid, unit m；Y (k+i), i=
1 ..., P are desired road area center line f (t) coordinate discrete magnitude in the Y direction, discrete interval v_{ax}·T_{s}, unit m；In formula, i
=1,2,3 ... P；
The control target of people's vehicle collaboration steering system controller is that driver is on the one hand made to possess certain driving freedom degree, is led to
Crossing makes vehicle driving in safety zone, and safety zone is road axis along each translation B of road or so_{th}Two after the distance of rice
The region for being included among line, objective function of the vehicle driving in safety zone can be defined as formula (20):
Wherein
While the ride comfort in order to guarantee Vehicular turn, it should make one the control amount i.e. vehicle of vehicle collaboration steering system controller
Front wheel angle is small as far as possible, such as formula (21):
J_{2}=  (U (k)  ^{2} (21)
Introduce weight matrix Γ_{u}To J_{1}And J_{2}The weight of two optimization aims is adjusted, and people's vehicle cooperates with steering system control
The optimization aim of device such as formula (22):
Road boundary can be obtained in real time by the sensory perceptual system of vehicle in this method, and vehicle must be in road boundary
Traveling, i.e. vehicle coordinate consider that road adds vehicle half without departing from road boundary by simplifying to the lateral position constraint of vehicle
The road boundary constraint of the available automobile frontaxle mass center of width and the road boundary of vehicle rear axle mass center constrain, l in formula_{f}(ψ
+ β) indicate the lateral displacement amount of front axle endpoint caused by the current side slip angle of vehicle and yaw angle, l_{r}(ψ+β) indicates vehicle
The lateral displacement amount of rear axle endpoint caused by current side slip angle and yaw angle, the lateral position constraint of vehicle meet such as following formula
(23) inequality relation:
F in formula_{l}(x) left margin in the front connecting way region obtained in real time for the sensory perceptual system by vehicle；f_{r}(x)
For the right margin in the front connecting way region that the sensory perceptual system by vehicle obtains in real time；W is vehicle width, unit m；l_{f}For
Distance of the vehicle centroid o to front of the car point, unit m；l_{r}For vehicle centroid o to the distance of rear vehicle end point, unit m；
People's vehicle collaboration steering system controller must satisfy system restriction such as formula (24):
C in formula_{ψ}=[0 10 0], C_{β}=[0 01 0]；f_{l}(k+i) left for front connecting way region in prediction time domain
Boundary line f_{l}(x) in the sampled value of moment k+i, unit m；f_{r}It (k+i) is then front connecting way region right margin in prediction time domain
Line f_{r}(x) in the sampled value of moment k+i, unit m；
Step 5: drive power distribution and calculate control amount completing control:
Take each moment people vehicle collaboration steering system controller control in the prediction time domain P that Optimization Solution goes out in step 4 defeated
Enter δ_{a}Sequence U_{a}(k) the front wheel angle δ that each moment decision of driver goes out in first item and prediction time domain_{h}Sequence R (k)
First item acquires current time vehicle front wheel angle such as formula (25) according to formula (13):
δ_{f}=U_{a}(1)·α+(1α)·U_{h}(1) (25)
Current time vehicle front wheel angle δ_{f}It is transmitted to vehicle as final control amount, vehicle is held by corresponding executing agency
Row control amount δ_{f}, cooperate with the process of the completion Vehicular turn of driver safety.
The invention has the benefit that
1. the invention proposes a kind of collaborations that guarantee driver drives freedom degree to turn to scheme, drive a car in driver
In the case where, driver can be assisted to operate in real time online when being likely to occur danger, and normally grasp in driver
Driver's operation can not be intervened when making vehicle, guarantee that driver safety completes Vehicular turn operation；
2. the present invention can travel region to road according to the travel speed of vehicle and carry out what driver can freely drive
Safety zone and driver need the dynamic of auxiliary area to divide,；
3. the present invention is when vehicle driving is in the safety zone that driver can freely drive, driver possesses Vehicular turn
Absolute control, controller do not intervene the correct steering operation of driver completely, beyond being grasped behind safety zone according to driver
Make behavior and vehicle location to determine intervention degree in real time and driver is cooperateed with to complete steering operation.
Detailed description of the invention
Fig. 1 is a kind of stream for considering driver and turning to rolling optimization control method in people's vehicle collaboration of ring of the present invention
Journey schematic diagram；
Fig. 2 is that a kind of consideration driver of the present invention establishes in people's vehicle collaboration steering rolling optimization control method of ring
Vehicle kinematics model schematic；
Fig. 3 is that a kind of consideration driver of the present invention establishes in people's vehicle collaboration steering rolling optimization control method of ring
Vehicle two degrees of freedom kinetic model schematic diagram；
Fig. 4 is driving behavior coefficient subordinating degree function schematic diagram；
Fig. 5 is the lateral position parameter subordinating degree function schematic diagram of vehicle；
Fig. 6 is to intervene degree coefficient subordinating degree function schematic diagram；
Fig. 7 is the realization that a kind of driver of the present invention turns to rolling optimization control method in people's vehicle collaboration of ring
Journey schematic diagram；
Fig. 8 is the safety zone schematic diagram that driver can freely drive；
Specific embodiment
The present invention is described in detail with reference to the accompanying drawing:
The present invention proposes that a kind of driver cooperates in people's vehicle of ring and turns to rolling optimization control method, as shown in Figure 1, specifically
Implementation steps are as follows:
Step 1: establishing vehicle two degrees of freedom kinetic model and vehicle kinematics model:
Establish earth coordinates: origin O is consolidated in ground, and Xaxis is usually overlapped with vehicle initial motion direction, and Xaxis is along inverse
The direction that clockwise is rotated by 90 ° is that the positive direction of Yaxis establishes earth coordinates；
Establish vehicle axis system: using vehicle centroid o in vehicle dynamic model as coordinate origin, along the side of vehicle advance
To the positive direction for xaxis, xaxis is rotated in the counterclockwise direction 90 degree of direction and establishes vehicle axis system for the positive direction of yaxis；
With the relationship of the lateral movement of the control stability and vehicle of vehicle kinematics model characterization vehicle, and with vehicle two
Freedom degree kinetic model characterizes the relationship between the control stability of vehicle and the weaving of vehicle, and detailed process is as follows:
Fig. 2 is vehicle kinematics model schematic, it is assumed that vehicle is a rigid body, vehicle fitting four will not occur
The wheel of deformation, and using vehicle frontwheel as deflecting roller, it is obtained according to the geometrical relationship of vehicle kinematics equation and vehicle movement
To shown in vehicle kinematics model such as formula (1):
X in formula_{o}For the length travel of vehicle centroid o, unit m；y_{o}For the lateral displacement of vehicle centroid o, unit m；V is vehicle
The speed of mass center, unit m/s；R is the yaw velocity of vehicle, unit rad/s；ψ is the course angle of vehicle, unit rad；β
For the side slip angle of vehicle, unit rad；
In view of the usual very little of the curvature of real road, course angle ψ is same when driving in this section of real road region for vehicle
Sample is considered very little, and the side slip angle β variation range of actually vehicle also very little, so having: sin (ψ+β) ≈ ψ+β,
Cos (ψ+β) ≈ 1, the vehicle kinematics model that convolution (1) can be simplified, as shown in formula (2):
Fig. 3 is two degrees of freedom vehicle dynamic model schematic diagram, and this method is by controlling the front wheel angle of vehicle come real
The purpose of existing path trace, and think that vehicle remains a constant speed state traveling, so only needing to consider the lateral movement of vehicle, root
According to Newton's second law and equalising torque relationship, the vehicle two degrees of freedom kinetic model as shown in formula (3) can be obtained:
V in formula_{x}For the longitudinal velocity at vehicle centroid, unit m/s；F_{yf}For vehicle frontwheel lateral force, unit N；F_{yr}For vehicle
Rearwheel lateral force, unit N；M is the quality of vehicle, units/kg；I_{z}It is vehicle around the rotary inertia of zaxis, units/kg m^{2}；A is
Distance of the vehicle centroid o to automobile frontaxle, unit m；B is distance of the vehicle centroid o to vehicle rear axle, unit m；δ_{f}Before vehicle
Take turns corner, unit rad；
The actual front wheel angle δ of vehicle_{f}Generally also very little can be approximately considered: cos δ_{f}≈ 1, sin δ_{f}≈ 0, therefore to formula
(3) simplified, shown in simplified vehicle two degrees of freedom kinetic model such as formula (4):
When the lateral tire force of vehicle is not up to saturated, the lateral tire force F of vehicle_{y}It approximate can regard as with slip angle of tire α and be in
Shown in linear relationship such as formula (5):
C in formula_{f}For the tire cornering stiffness of vehicle frontwheel, unit Nrad；C_{r}For the tire cornering stiffness of vehicle rear wheel,
Unit Nrad；α_{f}For the slip angle of tire of vehicle frontwheel, unit rad；α_{r}For the slip angle of tire of vehicle rear wheel, unit rad；
Under vehicle axis system, the slip angle of tire α of frontwheel_{f}With the slip angle of tire α of rearwheel_{r}Just like the relationship of formula (6):
Convolution (4), formula (5) and formula (6), arrangement can obtain shown in vehicle two degrees of freedom kinetic model such as formula (7):
Intervene degree coefficient Step 2: determining using assessment of risks fuzzy logic:
It is α and 0≤α≤1 that degree coefficient is intervened in definition, and intervening degree coefficient is by lateral to driving behavior and vehicle
Position Synthesis analysis obtains, if current time is k moment, driving behavior coefficient D_{h}Expression is as shown in formula (8):
Wherein δ_{h}(k) front wheel angle gone out for driver k moment decision, δ_{f}(k  k1) it is to solve k moment vehicle at the k1 moment
Front wheel angle, D_{h}For δ_{h}With δ_{f}The absolute value of the difference of (k  k1) is than upper δ_{h}With δ_{f}The maximum of the absolute value of the difference of (k  k1)
Value, D_{h}Value is bigger, and the extent of error for illustrating driver's operation is higher；
The lateral position parameter D of vehicle_{r}Shown in expression formula such as formula (9):
Wherein, y_{o}It (k) is the lateral displacement of k moment vehicle, r_{o}It (k) is k moment and y_{o}(k) road corresponding to identical x coordinate
The lateral displacement of Lu Zhizheng line, D_{r}For y_{o}(k) and r_{o}(k) absolute value of difference is than upper y_{o}(k) and r_{o}(k) absolute value of difference is most
Big value, D_{r}Value is bigger, and the degree for illustrating vehicle deviating road center line is higher；
By driving behavior coefficient D_{h}It is fuzzy to turn to 5 set: S_{h}, MS_{h}, M_{h}, MB_{h}, B_{h}；The lateral position parameter D of vehicle_{r}Mould
Gelatinization is 4 set: S_{r}, MS_{r}, M_{r}, B_{r}；By D_{h}Variation range is set as [0,1], and subordinating degree function is as shown in figure 4, expression formula
As shown in formula (10)；By D_{h}Variation range is set as [0,1], and subordinating degree function is as shown in figure 5, expression formula such as formula (11) institute
Show；
Equally intervention degree coefficient α is also obscured and turns to 5 set: S_{α}, MS_{α}, M_{α}, MB_{α}, B_{α}；Its corresponding degree of membership letter
Number is as shown in fig. 6, shown in expression formula such as formula (12):
Specific fuzzy rule is as shown in table 1:
1 fuzzy reasoning table of table
Finally, obtaining the degree of membership for intervening degree coefficient α by tabling lookup, then it is subordinate to using the maximum in deblurring method
Degree method determines the value for intervening degree coefficient α；
Step 3: establishing people's vehicle collaboration steering system model:
Step 3 cooperates with steering system model to cooperate with steering system to be described in people's vehicle by establishing people's vehicle, such as Fig. 7 institute
Show, degree coefficient α, the front wheel angle that acquisition driver's current time decision goes out are intervened by the current time that step 2 decision goes out
δ_{h}, the auxiliary front wheel angle δ of steering system is cooperateed with by current time people's vehicle that people's vehicle cooperates with steering system controller to solve_{a},
The proportionate relationship provided afterwards according still further to formula (13) is overlapped the frontwheel for going to vehicle:
δ_{f}=α δ_{h}+(1α)δ_{a} (13)
δ in formula_{a}The auxiliary frontwheel of steering system is cooperateed with for current time people's vehicle that people's vehicle cooperates with steering controller to solve
Corner, unit rad；δ_{h}For the front wheel angle that driver's current time decision goes out, unit rad；
Solve the auxiliary front wheel angle δ of current time people's vehicle collaboration steering system_{a}Afterwards, the superposition provided according to formula (13)
Relationship obtains current time vehicle front wheel angle δ_{f}As front wheel angle control amount；
Convolution (2), formula (7) and formula (13), due to lateral speed relative to longitudinal speed it is smaller can approximation regard v ≈ as
v_{x}, arrangement can obtain people's vehicle collaboration steering system model such as formula (14):
The people's vehicle cooperates with the lateral displacement y of steering system selection vehicle centroid o_{o}As the defeated of people's vehicle collaboration steering system
Out, while the auxiliary front wheel angle δ that people's vehicle cooperates with steering system is chosen_{a}Control as people's vehicle collaboration steering system system model
State vector x=[y is chosen in input_{o} ψ β r]^{T}, people's vehicle collaboration steering system model be described as the shape as shown in formula (15)
State space form:
Wherein A is sytem matrix, indicates the relationship of internal system state variable；B_{s}To control matrix, input variable is indicated
How state of a control variable；C is output matrix, indicates how output variable reflects state；B_{d}For constant term matrix；Each matrix
Expression formula is as follows:
C=[1 00 0]；
Step 4: carrying out people's vehicle using model prediction method cooperates with steering system controller design:
Cooperate with steering system model as the prediction of people's vehicle collaboration steering system controller design using people's vehicle in step 3
Model, people's vehicle cooperate with the auxiliary front wheel angle δ of steering system_{a}As the control input of people's vehicle collaboration steering system controller, if k
For current time, it is believed that vehicle speed in prediction time domain remains unchanged, and thinks the frontwheel that driver's current time decision goes out
Corner δ_{h}It is equally remained unchanged in prediction time domain, people's vehicle collaboration steering system model of formula (15) is subjected to discretization and obtains formula
(16):
In formulaC_{c}=C, T_{s}For sampling
Time, unit s；
People's vehicle, which cooperates with, predicts that time domain for P, controls time domain in the model prediction method used when steering system controller design
For N, and meet N≤P, the control input for controlling people's vehicle collaboration steering system controller except time domain remains unchanged, and passes through formula
(16) it can derive that people's vehicle cooperates with steering system controller state predictive equation such as formula (17):
Derive people's vehicle collaboration steering system controller output predictive equation such as formula (18):
Each moment people vehicle collaboration steering system controller control input δ in prediction time domain P is defined simultaneously_{a}Sequence U_{a}
(k), the front wheel angle δ that each moment decision of driver goes out in time domain P is predicted_{h}Sequence U_{h}(k), each moment is predicted in time domain P
Control output y_{o}Sequence U_{y}(k), the sequence R of each moment road axis lateral coordinates y in time domain P is predicted_{y}(k) it and predicts
Final front wheel angle δ of each moment in time domain P_{f}Sequence U (k), such as formula (19):
δ in formula_{h}(k+i) front wheel angle gone out for driver k+i moment decision, unit rad；δ_{f}(k+i) in prediction time domain
K+i moment vehicle front wheel angle, unit rad；X (k+i) be the k+i moment people's vehicle cooperate with steering system controller state to
Amount；y_{o}It (k+i) is the output of the steering assist system at k+i moment, the i.e. lateral position of vehicle centroid, unit m；Y (k+i), i=
1 ..., P are desired road area center line f (t) coordinate discrete magnitude in the Y direction, discrete interval v_{ax}·T_{s}, unit m；In formula, i
=1,2,3 ... P；
The control target of people's vehicle collaboration steering system controller is that driver is on the one hand made to possess certain driving freedom degree, is led to
Crossing makes vehicle driving in safety zone, and safety zone is road axis along each translation B of road or so_{th}Two after the distance of rice
The region for being included among line, as shown in figure 8, objective function of the vehicle driving in safety zone can be defined as formula (20):
Wherein
While the ride comfort in order to guarantee Vehicular turn, it should make one the control amount i.e. vehicle of vehicle collaboration steering system controller
Front wheel angle is small as far as possible, such as formula (21):
J_{2}=  (U (k)  ^{2} (21)
Introduce weight matrix Γ_{u}To J_{1}And J_{2}The weight of two optimization aims is adjusted, and people's vehicle cooperates with steering system control
The optimization aim of device such as formula (22):
Road boundary can be obtained in real time by the sensory perceptual system of vehicle in this method, and vehicle must be in road boundary
Traveling, i.e. vehicle coordinate consider that road adds vehicle half without departing from road boundary by simplifying to the lateral position constraint of vehicle
The road boundary constraint of the available automobile frontaxle mass center of width and the road boundary of vehicle rear axle mass center constrain, l in formula_{f}(ψ
+ β) indicate the lateral displacement amount of front axle endpoint caused by the current side slip angle of vehicle and yaw angle, l_{r}(ψ+β) indicates vehicle
The lateral displacement amount of rear axle endpoint caused by current side slip angle and yaw angle, the lateral position constraint of vehicle meet such as following formula
(23) inequality relation:
F in formula_{l}(x) left margin in the front connecting way region obtained in real time for the sensory perceptual system by vehicle；f_{r}(x)
For the right margin in the front connecting way region that the sensory perceptual system by vehicle obtains in real time；W is vehicle width, unit m；l_{f}For
Distance of the vehicle centroid o to front of the car point, unit m；l_{r}For vehicle centroid o to the distance of rear vehicle end point, unit m；
People's vehicle collaboration steering system controller must satisfy system restriction such as formula (24):
C in formula_{ψ}=[0 10 0], C_{β}=[0 01 0]；f_{l}(k+i) left for front connecting way region in prediction time domain
Boundary line f_{l}(x) in the sampled value of moment k+i, unit m；f_{r}It (k+i) is then front connecting way region right margin in prediction time domain
Line f_{r}(x) in the sampled value of moment k+i, unit m；
Step 5: drive power distribution and calculate control amount completing control:
Take each moment people vehicle collaboration steering system controller control in the prediction time domain P that Optimization Solution goes out in step 4 defeated
Enter δ_{a}Sequence U_{a}(k) the front wheel angle δ that each moment decision of driver goes out in first item and prediction time domain_{h}Sequence R (k)
First item acquires current time vehicle front wheel angle such as formula (25) according to formula (13):
δ_{f}=U_{a}(1)·α+(1α)·U_{h}(1) (25)
Current time vehicle front wheel angle δ_{f}It is transmitted to vehicle as final control amount, vehicle is held by corresponding executing agency
Row control amount δ_{f}, cooperate with the process of the completion Vehicular turn of driver safety.
Claims (1)
1. a kind of driver turns to rolling optimization control method in people's vehicle collaboration of ring, control is turned to based on a kind of driver and collaboration
Device processed simultaneously in the driving mode of ring, under this kind of mode when the driving behavior of driver not when the error occurs, the driving of vehicle is weighed
Dominated completely by driver, driver's driving behavior when the error occurs, the driving weight of driver is reduced and is even reduced extremely
Zero, it is turned to by collaboration steering controller auxiliary driver's Collaborative Control, which is characterized in that specific step is as follows for this method:
Step 1: establishing vehicle two degrees of freedom kinetic model and vehicle kinematics model:
Establish earth coordinates: origin O is consolidated in ground, and Xaxis is usually overlapped with vehicle initial motion direction, and Xaxis is along counterclockwise
The direction that direction is rotated by 90 ° is that the positive direction of Yaxis establishes earth coordinates；
It establishes vehicle axis system: using vehicle centroid o in vehicle dynamic model as coordinate origin, being along the direction that vehicle advances
The positive direction of xaxis, xaxis are rotated in the counterclockwise direction 90 degree of direction and establish vehicle axis system for the positive direction of yaxis；
The relationship of the control stability of vehicle and the lateral movement of vehicle is characterized with vehicle kinematics model, and freely with vehicle two
The relationship between the control stability of kinetic model characterization vehicle and the weaving of vehicle is spent, detailed process is as follows:
It is assumed that vehicle is a rigid body, vehicle fitting four will not the wheel that deformation occurs, and using vehicle frontwheel as turning
To wheel, obtained shown in vehicle kinematics model such as formula (1) according to the geometrical relationship of vehicle kinematics equation and vehicle movement:
X in formula_{o}For the length travel of vehicle centroid o, unit m；y_{o}For the lateral displacement of vehicle centroid o, unit m；V is vehicle matter
The speed of the heart, unit m/s；R is the yaw velocity of vehicle, unit rad/s；ψ is the course angle of vehicle, unit rad；β is vehicle
Side slip angle, unit rad；
The vehicle kinematics model that convolution (1) can be simplified, as shown in formula (2):
According to Newton's second law and equalising torque relationship, the vehicle two degrees of freedom kinetic model as shown in formula (3) can be obtained:
V in formula_{x}For the longitudinal velocity at vehicle centroid, unit m/s；F_{yf}For vehicle frontwheel lateral force, unit N；F_{yr}After vehicle
Take turns lateral force, unit N；M is the quality of vehicle, units/kg；I_{z}It is vehicle around the rotary inertia of zaxis, units/kg m^{2}；A is vehicle
Distance of the mass center o to automobile frontaxle, unit m；B is distance of the vehicle centroid o to vehicle rear axle, unit m；δ_{f}To be rotated before vehicle
Angle, unit rad；
Formula (3) is simplified, shown in simplified vehicle two degrees of freedom kinetic model such as formula (4):
When the lateral tire force of vehicle is not up to saturated, the lateral tire force F of vehicle_{y}It approximate can regard linear pass as with slip angle of tire α
System is as shown in formula (5):
C in formula_{f}For the tire cornering stiffness of vehicle frontwheel, unit Nrad；C_{r}For the tire cornering stiffness of vehicle rear wheel, unit
N·rad；α_{f}For the slip angle of tire of vehicle frontwheel, unit rad；α_{r}For the slip angle of tire of vehicle rear wheel, unit rad；
Under vehicle axis system, the slip angle of tire α of frontwheel_{f}With the slip angle of tire α of rearwheel_{r}Just like the relationship of formula (6):
Convolution (4), formula (5) and formula (6), arrangement can obtain shown in vehicle two degrees of freedom kinetic model such as formula (7):
Intervene degree coefficient Step 2: determining using assessment of risks fuzzy logic:
It is α and 0≤α≤1 that degree coefficient is intervened in definition, and intervening degree coefficient is by driving behavior and vehicle lateral position
Comprehensive analysis obtains, if current time is k moment, driving behavior coefficient D_{h}Expression is as shown in formula (8):
Wherein δ_{h}(k) front wheel angle gone out for driver k moment decision, δ_{f}(k  k1) it is before solving k moment vehicle at the k1 moment
Take turns corner, D_{h}For δ_{h}With δ_{f}The absolute value of the difference of (k  k1) is than upper δ_{h}With δ_{f}The maximum value of the absolute value of the difference of (k  k1),
D_{h}Value is bigger, and the extent of error for illustrating driver's operation is higher；
The lateral position parameter D of vehicle_{r}Shown in expression formula such as formula (9):
Wherein, y_{o}It (k) is the lateral displacement of k moment vehicle, r_{o}It (k) is k moment and y_{o}(k) in road corresponding to identical x coordinate
The lateral displacement of heart line, D_{r}For y_{o}(k) and r_{o}(k) absolute value of difference is than upper y_{o}(k) and r_{o}(k) maximum of the absolute value of difference
Value, D_{r}Value is bigger, and the degree for illustrating vehicle deviating road center line is higher；
By driving behavior coefficient D_{h}It is fuzzy to turn to 5 set: S_{h}, MS_{h}, M_{h}, MB_{h}, B_{h}；The lateral position parameter D of vehicle_{r}Blurring
Gather for 4: S_{r}, MS_{r}, M_{r}, B_{r}；By D_{h}Variation range is set as [0,1], the expression formula of subordinating degree function such as formula (10) institute
Show；By D_{h}Variation range is set as [0,1], shown in the expression formula of subordinating degree function such as formula (11)；
Equally intervention degree coefficient α is also obscured and turns to 5 set: S_{α}, MS_{α}, M_{α}, MB_{α}, B_{α}；Its corresponding subordinating degree function table
Up to shown in formula such as formula (12):
Specific fuzzy rule is as shown in table 1:
1 fuzzy reasoning table of table
Finally, obtaining the degree of membership for intervening degree coefficient α by tabling lookup, the maximum membership degree method in deblurring method is then utilized
Determine the value for intervening degree coefficient α；
Step 3: establishing people's vehicle collaboration steering system model:
Step 3 cooperates with steering system model to cooperate with steering system to be described in people's vehicle by establishing people's vehicle, by step 2 decision
Current time out intervenes degree coefficient α, the front wheel angle δ that acquisition driver's current time decision goes out_{h}, turned by the collaboration of people's vehicle
The auxiliary front wheel angle δ of the current time people's vehicle collaboration steering system solved to system controller_{a}, after given according still further to formula (13)
Proportionate relationship out is overlapped the frontwheel for going to vehicle:
δ_{f}=α δ_{h}+(1α)δ_{a} (13)
δ in formula_{a}The auxiliary front wheel angle of steering system is cooperateed with for current time people's vehicle that people's vehicle cooperates with steering controller to solve,
Unit rad；δ_{h}For the front wheel angle that driver's current time decision goes out, unit rad；
Solve the auxiliary front wheel angle δ of current time people's vehicle collaboration steering system_{a}Afterwards, the overlaying relation provided according to formula (13)
Obtain current time vehicle front wheel angle δ_{f}As front wheel angle control amount；
Convolution (2), formula (7) and formula (13), due to lateral speed relative to longitudinal speed it is smaller can approximation regard v ≈ v as_{x}, whole
Reason can obtain people's vehicle collaboration steering system model such as formula (14):
The people's vehicle cooperates with the lateral displacement y of steering system selection vehicle centroid o_{o}As the output of people's vehicle collaboration steering system, simultaneously
Choose the auxiliary front wheel angle δ of people's vehicle collaboration steering system_{a}As the control input of people's vehicle collaboration steering system system model, choosing
Take state vector x=[y_{o} ψ β r]^{T}, people's vehicle collaboration steering system model be described as the state space as shown in formula (15)
Form:
Wherein A is sytem matrix, indicates the relationship of internal system state variable；B_{s}To control matrix, indicate how input variable is controlled
State variable processed；C is output matrix, indicates how output variable reflects state；B_{d}For constant term matrix；Each matrix expression
It is as follows:
C=[1 00 0]；
Step 4: carrying out people's vehicle using model prediction method cooperates with steering system controller design:
The prediction model of steering system controller design is cooperateed with using people's vehicle collaboration steering system model in step 3 as people's vehicle,
The auxiliary front wheel angle δ of people's vehicle collaboration steering system_{a}As the control input of people's vehicle collaboration steering system controller, if k is to work as
The preceding moment, it is believed that vehicle speed in prediction time domain remains unchanged, and thinks the front wheel angle that driver's current time decision goes out
δ_{h}It is equally remained unchanged in prediction time domain, people's vehicle collaboration steering system model of formula (15) is subjected to discretization and obtains formula
(16):
In formulaC_{c}=C, T_{s}For the sampling time,
Unit s；
People's vehicle, which cooperates with, predicts time domain as P in the model prediction method used when steering system controller design, control time domain is N,
And meeting N≤P, the control input for controlling people's vehicle collaboration steering system controller except time domain remains unchanged, and passes through formula (16)
It can derive that people's vehicle cooperates with steering system controller state predictive equation such as formula (17):
Derive people's vehicle collaboration steering system controller output predictive equation such as formula (18):
Each moment people vehicle collaboration steering system controller control input δ in prediction time domain P is defined simultaneously_{a}Sequence U_{a}(k), pre
Survey the front wheel angle δ that each moment decision of driver goes out in time domain P_{h}Sequence U_{h}(k), predict that each moment control is defeated in time domain P
Y out_{o}Sequence U_{y}(k), the sequence R of each moment road axis lateral coordinates y in time domain P is predicted_{y}(k) and in prediction time domain P
Final front wheel angle δ of each moment_{f}Sequence U (k), such as formula (19):
δ in formula_{h}(k+i) front wheel angle gone out for driver k+i moment decision, unit rad；δ_{f}It (k+i) is k+i in prediction time domain
Moment vehicle front wheel angle, unit rad；X (k+i) is that people's vehicle at k+i moment cooperates with the state vector of steering system controller；y_{o}
It (k+i) is the output of the steering assist system at k+i moment, the i.e. lateral position of vehicle centroid, unit m；Y (k+i), i=1 ...,
P is desired road area center line f (t) coordinate discrete magnitude in the Y direction, discrete interval v_{ax}·T_{s}, unit m；In formula, i=1,
2,3…P；
The control target of people's vehicle collaboration steering system controller is that driver is on the one hand made to possess certain driving freedom degree, by making
For vehicle driving in safety zone, safety zone is road axis along each translation B of road or so_{th}After the distance of rice in two lines
Between included region, objective function of the vehicle driving in safety zone can be defined as formula (20):
Wherein
While the ride comfort in order to guarantee Vehicular turn, it should before the control amount i.e. vehicle for making one vehicle collaboration steering system controller
It is small as far as possible to take turns corner, such as formula (21):
J_{2}=‖ (U (k) ‖^{2} (21)
Introduce weight matrix Γ_{u}To J_{1}And J_{2}The weight of two optimization aims is adjusted, and people's vehicle cooperates with steering system controller
Optimization aim such as formula (22):
Road boundary can be obtained in real time by the sensory perceptual system of vehicle in this method, and vehicle must be in road boundary expert
It sails, i.e., vehicle coordinate considers that road is plus vehicle half without departing from road boundary by simplifying to the lateral position constraint of vehicle
The road boundary constraint of the available automobile frontaxle mass center of width and the road boundary of vehicle rear axle mass center constrain, l in formula_{f}(ψ+
β) indicate the lateral displacement amount of front axle endpoint caused by the current side slip angle of vehicle and yaw angle, l_{r}(ψ+β) indicates vehicle
The lateral displacement amount of rear axle endpoint caused by current side slip angle and yaw angle, the lateral position constraint of vehicle meet such as following formula
(23) inequality relation:
F in formula_{l}(x) left margin in the front connecting way region obtained in real time for the sensory perceptual system by vehicle；f_{r}It (x) is logical
Cross the right margin in the front connecting way region that the sensory perceptual system of vehicle obtains in real time；W is vehicle width, unit m；l_{f}For vehicle
Distance of the mass center o to front of the car point, unit m；l_{r}For vehicle centroid o to the distance of rear vehicle end point, unit m；
People's vehicle collaboration steering system controller must satisfy system restriction such as formula (24):
C in formula_{ψ}=[0 10 0], C_{β}=[0 01 0]；f_{l}It (k+i) is front connecting way region left margin in prediction time domain
Line f_{l}(x) in the sampled value of moment k+i, unit m；f_{r}It (k+i) is then boundary line f on the right of front connecting way region in prediction time domain_{r}
(x) in the sampled value of moment k+i, unit m；
Step 5: drive power distribution and calculate control amount completing control:
Take each moment people vehicle collaboration steering system controller control input δ in the prediction time domain P that Optimization Solution goes out in step 4_{a}
Sequence U_{a}(k) the front wheel angle δ that each moment decision of driver goes out in first item and prediction time domain_{h}Sequence R (k) first
, current time vehicle front wheel angle such as formula (25) is acquired according to formula (13):
δ_{f}=U_{a}(1)·α+(1α)·U_{h}(1) (25)
Current time vehicle front wheel angle δ_{f}It is transmitted to vehicle as final control amount, vehicle executes control by corresponding executing agency
Amount δ processed_{f}, cooperate with the process of the completion Vehicular turn of driver safety.
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