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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive $ \/ C+ L: x" b/ _% D( J/ W
Dynamic Programming
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4 l5 L* Z9 Q/ W; S; Y6 YA novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency & i# c n" \, C& [6 N$ M
is an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on
' @. }5 \( E) T8 v" {the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network 9 |# B- |5 T3 A
of vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the
' t) t% u" R. N7 f+ x1 loptimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using
2 h, C3 H D& m/ r7 f7 i9 L) s9 nMatlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth 3 }8 d5 t8 B+ D: U2 H
controller for autonomous vehicles' system. % o3 C: f$ w+ z# P9 \1 q
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