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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive 4 ~7 M2 d- |5 k9 K C; ^
Dynamic Programming 9 F8 Z7 | q# a1 {$ y# l
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; s5 A4 A! P l7 O( ]2 VA novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency
: z% Q$ }; r* c+ g, }$ M* q, tis an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on
$ r7 d& _9 o# |( I# X* h3 V" ]the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network ) w( |' M( q% Y3 ?
of vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the
; }& C" A& O, x* d7 Q% T7 Loptimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using ' f4 Y( @/ |* E9 Y- p! J
Matlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth
2 Q* ^& X1 X- ~% l$ Icontroller for autonomous vehicles' system. 9 d3 e3 ?* N- A5 j& p
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