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A Novel Steering Control for Real Autonomous Vehicles via PI Adaptive
# U- f8 g7 R {( f0 X" zDynamic Programming
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A novel steering controller for autonomous vehicles is proposed in this paper. For autonomous vehicles, the efficiency
0 X/ B2 ^& Y7 \9 l- O' ^is an important indicator, in order to reduce the training cost and improve the real-time performance while the car is running on # y A/ X% e- b1 T; G* R. f& L
the road, Offline plus online training is proposed in this paper. Offline plus online training is presented to build a model network
) ?6 D" q# j: w+ B8 d- e/ G9 ^/ dof vehicle steering and correct it in real time. Then we adopt a policy iteration adaptive dynamic programming (ADP) to get the
! A6 {) M" ]0 D$ F9 Loptimal control law and deploy it to autonomous vehicles. Eventually, the performance of the controller was evaluated using
5 H7 `$ ^; J/ R% {( m/ KMatlab simulation. Results verify the feasibility of the theory and show the steering controller is one kind of effective, smooth : [# q; v8 r |7 v( M
controller for autonomous vehicles' system.
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