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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive
* G, ~3 ~1 Z$ m3 d0 z) F2 I2 [Dynamic Programming
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3 [ L+ V/ J! }% S* dA novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency / `3 Q$ g# g# r
is an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on + m t& h% h, J' f7 t+ f- s) \
the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network
: i0 O4 g% t7 [; u0 oof vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the0 f: Z6 v! I- ]; F5 r
optimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using
) h! e" w$ J3 o# IMatlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth 9 o4 i0 M8 \. z9 [ P( u
controller for autonomous vehicles' system. $ e( f4 Q& H) I& M& A
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