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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive 7 P' I6 _. q) E+ Z) k: p9 u
Dynamic Programming 0 ?8 _& S) R8 g
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7 r& t) ?, b! g9 W8 I2 i5 g2 }A novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency 2 r1 N# i7 T% \+ \& ^% l
is an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on
5 @' ]1 w/ q$ c9 K% e9 ~3 Uthe road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network
, ]0 V* R0 q; r: Z( |of vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the0 d' ?4 ~ i+ L# c6 l E5 L
optimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using # T# X# [& S- m. F }" V$ Y
Matlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth % F: x9 I1 T7 Y. ~0 W% e0 w
controller for autonomous vehicles' system.
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