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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive
5 H/ w7 k' X1 F, b" I3 rDynamic Programming
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+ F. C8 P6 `; j% C! i6 aA novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency
3 N \0 G2 M' p. y @/ Tis an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on * r5 s# f- d- P% \7 j
the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network
5 g- x! K# g3 ?5 {0 x1 u5 [of vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the
/ v' u: Q. E% I4 T% \! qoptimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using
1 Y- I2 w) t: q: R ^6 N. lMatlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth $ W* h5 z' r+ O6 d( k+ {! \% z
controller for autonomous vehicles' system.
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