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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 + D+ M1 b$ G8 O7 z6 L1 [* c+ S0 j
is an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on
' Y7 s4 T0 z2 T; e* Ethe road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network 6 }: G& L- ~+ `1 a- l" a( r0 \7 H
of vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the
' r1 [. i: \+ p4 ]7 T5 w( hoptimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using
/ e) m9 }5 q2 W8 O, {3 B0 W$ p7 XMatlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth & o# j3 ~* h7 n2 x. N0 |
controller for autonomous vehicles' system. , c! \6 Q: p; \: Q9 ~2 L% _! F
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