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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive
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A novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency
# A; L' q1 m' z M- g7 p3 Kis an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on 3 ~* ^; Y7 P) X/ u* x
the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network
5 d8 |' E! ^; Mof vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the" r& x1 o+ _6 z/ o8 T8 p
optimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using % |" m/ d, ^9 ]
Matlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth
# C. d+ k K: D8 xcontroller for autonomous vehicles' system.
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