Title :
Fuzzy-Logic-Based Sliding-Mode Controller Design for Position-Sensorless Electric Vehicle
Author :
Cao, Jian-Bo ; Cao, Bing-Gang
Author_Institution :
Transp. Coll., Zhejiang Normal Univ., Jinhua, China
Abstract :
A control system by means of the back electromotive force method is designed for the position-sensorless electric vehicle (EV) after analyzing the principle of position-sensorless control for brushless dc motor. Aiming at the main problems of EV: variation of model and short driving range, a fuzzy sliding-mode controller (FSMC) with regeneration is designed for the EV. The controller uses fuzzy switching gain adjustment to avoid the whippings. The experimental results show that the control system of position-sensorless EV can successfully achieve position-sensorless commutation control and replace Hall sensors. FSMC possesses better performance and higher efficiency than the proportional-integral-differential controller. Additionally, it can recover more energy and increase more driving range.
Keywords :
brushless DC motors; commutation; control system synthesis; electric potential; electric vehicles; fuzzy control; position control; three-term control; time-varying systems; variable structure systems; FSMC; back electromotive force method; brushless dc motor; fuzzy sliding-mode controller; fuzzy switching gain adjustment; fuzzy-logic; position-sensorless commutation control; position-sensorless electric vehicle; proportional-integral-differential controller; sliding-mode controller design; Brushless DC motors; Commutation; Control systems; Design methodology; Electric vehicles; Force control; Fuzzy control; Pi control; Sensor systems; Sliding mode control; Electric machines; fuzzy control; fuzzy logic; motion control; motor drives; position control; sliding block codes;
Journal_Title :
Power Electronics, IEEE Transactions on
DOI :
10.1109/TPEL.2009.2020429