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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
: L7 ^ A' B7 v( h' ]$ Iis an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on # J7 q0 X0 v& z5 {
the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network ( e$ Y+ l% Y1 b O( u/ z
of vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the
+ {$ G- c5 A& C/ @- ~) P% goptimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using 5 ?9 D% V$ u$ `& t
Matlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth 9 M/ I, T- h0 e( ]* |
controller for autonomous vehicles' system.
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