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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive 7 ?, ~7 O# ~3 w' }
Dynamic Programming
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% n2 R- d( p% W8 x" Q8 I6 r2 m; _; OA novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency , g+ |) {3 o3 A1 t/ t- s, y0 F# i
is an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on
( ?+ p9 B: i' ^( }* {the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network
0 u; j8 v1 w9 w7 f: Dof vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the$ e9 y( R1 I- J( h. I, D$ U4 W( d
optimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using
e' H; A( A. \) k( f/ k% zMatlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth
- r; j; n0 L( k9 Z4 `controller for autonomous vehicles' system.
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