Title :
A Computationally Intelligent Methodologies and Sliding Mode Control Based Traction control System for in-wheel driven EV
Author :
Zhengfeng, Ming ; Guangzheng, Ni
Author_Institution :
Xidian Univ., Xi´´an
Abstract :
A traction control system based on computationally intelligent methodologies and sliding mode control is developed in this paper. The basic idea of the proposed strategy is that the controller provided with computationally intelligent system is trained by using the sliding mode control. Therefore, the controller can guarantee that the movement of the controlled system can follow the ideal moving tracks, the drawback of control chattering occurred in the classical sliding mode control can be alleviated. Moreover, the robustness of systems is improved. The numerical results validate the proposed model and method
Keywords :
control engineering computing; electric vehicles; learning (artificial intelligence); power engineering computing; traction; variable structure systems; computationally intelligent methodology; electric vehicle; in-wheel driven EV; sliding mode control; traction control; training; Competitive intelligence; Computational intelligence; Control systems; Delay; Intelligent systems; Mathematical model; Mathematics; Sliding mode control; Torque control; Vehicles; Electrical Vehicle (EV); Traction control (TC); computationally intelligent methodologies; sliding mode control (SMC);
Conference_Titel :
Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0448-7
DOI :
10.1109/IPEMC.2006.4778159