|
A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive
) n, @& w) s6 a4 i0 G6 [- yDynamic Programming - ~3 I* p( y9 v
2 |4 S5 f& v* x4 m# X2 H8 X5 ]4 s: g' |1 Z( Y5 p% G; v
6 @) B+ m5 X) k
4 B3 a/ i+ X+ R8 @+ E! Z0 F1 e* Q2 i
A novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency # G/ `1 A& {9 G; z7 N! h# P
is an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on
- D- x4 h0 N) U& g9 Z( \the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network ; V' ^8 g2 B0 t3 `" ~9 r
of vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the2 }, W: ~) R9 C* n3 k( T7 [% d
optimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using + s+ w- c) ^7 i- A z/ S: b' n, s
Matlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth
1 b( q- Z/ h# u8 p xcontroller for autonomous vehicles' system. 4 f* Y. i' p2 J! n, K) |
) x0 r7 u! z, z4 {0 C& D* E
. U+ J7 r* n7 t; B5 a* ~+ z9 Q |