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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive
+ S) Y: q1 ~ U" P' YDynamic Programming
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- {- \ ~' ]& x( z ]; c# b l5 L4 uA novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency ( {+ S1 {. S) Q0 O% {2 y$ }
is an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on
, c& I# f4 n, {the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network
: f# K; r& m' }4 a" R+ B6 dof vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the0 v- Q4 i' J/ @( \; w8 Q$ e" p
optimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using
" T1 i H. X- b( H* I* PMatlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth + E: N' Q5 ]+ B" A& N E
controller for autonomous vehicles' system. . G& b$ p0 Y- D4 Z
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