Title :
Yaw stability control for in-wheel-motored electric vehicle with a fuzzy PID method
Author :
Hao Zhou ; Hong Chen ; Bingtao Ren ; Haiyan Zhao
Author_Institution :
Dept. of Control Sci. & Eng., Jilin Univ., Changchun, China
Abstract :
In order to improve in-wheel-motored electric vehicle(EV) yaw stability, the yaw stability control system based on fuzzy PID controller is carried out in this paper. Firstly, we set up the original models for controller: a 2DOF EV dynamics model and wheels with in-wheel motors model. Secondly, a control system which includes three parts: reference model, upper yaw stability fuzzy PID controller and lower moment distribution controller is designed. Besides, under the help of lookup table, the problem that fuzzy toolbox can´t be downloaded into dSPACE is solved. Finally, we run the off-line and real-time simulation on a 8 degrees of freedom(DOF) in-wheel-motored EV model with unitire tire model to verify the effectiveness of the fuzzy PID algorithm.
Keywords :
control system synthesis; electric vehicles; fuzzy control; position control; road vehicles; stability; table lookup; three-term control; vehicle dynamics; 2DOF EV dynamics model; controller model; dSPACE; fuzzy PID algorithm; fuzzy toolbox; in-wheel motor model; in-wheel-motored electric vehicle; lookup table; lower moment distribution controller design; reference model; unitire tire model; upper yaw stability fuzzy PID controller; yaw stability control system; Control systems; Real-time systems; Stability analysis; Torque; Vehicle dynamics; Vehicles; Wheels; EV; Fuzzy PID Algorithm; Off-line and Real-time Simulation; Yaw Stability;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162225