Nonlinear robust fuzzy distributed control of vehicle steering with saturation constraint
SUN Chuanbin1,2,3, FANG Lin1, TONG Baohong1,2
1. School of Mechanical Engineering, Anhui University of Technology, Maanshan 243032, China;
2. Institute of Green and Intelligent Vehicles, Anhui University of Technology, Maanshan 243032, China;
3. Anhui Province Key Laboratory of Special Heavy Load Robot, Anhui University of Technology, Maanshan 243032, China
Abstract:Aiming at nonlinear steering and actuator saturation problems in extreme state, the integrated control of active front steering (AFS) and direct yaw moment (DYC) of yaw-roll stability is studied. A 3-DOF yaw-roll vehicle model was established with Takagi-Sugeon method, uniting dynamic parameters fuzzy observer. A novel yaw ideal reference model was conducted under T-S framework, accurately reflecting vehicle steady-state during steering. The dynamic saturation threshold of active front steering was constructed under T-S framework, considering the effect of extreme steering on sideslip characteristics of front wheels. A relaxation factor was introduced to improve actuator of AFS and DYC efficiency, and saturation deviation of feedback control input was controlled as a bounded disturbance. A state feedback fuzzy controller PDC-TS(parallel distributed compensation-TS) was designed based on parallel-distributed compensation (PDC) scheme, with the norm-bounded rollover stability threshold was adopted as rollover performance constraint, and optimal H∞ performance control was derived in terms of linear matrix inequalities(LMIs) convex optimization problem for vehicle yaw-roll stability. Finally, control simulation and hardware in loop simulation for the controller was constructed with TruckSim-Matlab/Labview softwares, the obtained results show that, PDC-TS method is more precisely to control strong nonlinearity of vehicle during steering process, actuator implementing is more efficiently, and stability is always maintained with saturation input.
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