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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- j$ r% n( V) Y& x* G4 tis an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on
4 M% O' e. P; d0 D! q; w& g* v$ l3 ~the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network
) k0 Q0 d0 p: N! Xof vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the0 B ]0 Q' ?+ _, J- A( x7 u
optimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using ( t- r/ D# w" N6 h7 Z- {
Matlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth
: q' b$ A2 J2 [' H O3 N2 G, ycontroller for autonomous vehicles' system.
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