DocumentCode :
3091060
Title :
Adaptive inverse control of permanent magnet synchronous motor drive in a micro-electric vehicle
Author :
Li, Rui-hua ; Zhao, Jian-fei ; Hu, Bo ; Xu, Guo-qing
Author_Institution :
Dept. of Electr. Eng., Tongji Univ., Shanghai, China
Volume :
4
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
1909
Lastpage :
1914
Abstract :
This paper mainly reports the research work on the drive system of permanent magnet synchronous motor (PMSM) with the aim of its application in the micro-electric vehicle (Mi-EV). An adaptive inverse control approach was used a vector controlled PMSM drive control system with uncertainties and external disturbances (the work condition variation). The drive system adopts two closed loop structure including velocity and current. The velocity and current loops adopt the maximum torque/current control strategy based on vector control. Thus, the current of ldquod-qrdquo axis was computed under the condition of maximum torque by using the torque equations, and vector control relation was then obtained, and the maximum torque/current control was achieved based on vector. Due to the time varying nature and the high-bandwidth property of the uncertainties in a practical PMSM drive system, to reach exact speed control in electric vehicle drive system, the velocity loop adopts adaptive inverse control strategy based on the idea applying inverse control and adaptive control to assign signal. This control strategy deals with assign signal and interference signal respectively and eliminate noise effect on velocity output radically. Finally, the performance of the drive control system was evaluated through simulation and real-time implementation and experimental results validate the effectiveness.
Keywords :
adaptive control; electric vehicles; machine vector control; permanent magnet motors; synchronous motor drives; adaptive inverse control; d-q axis; machine vector control; micro-electric vehicle; permanent magnet synchronous motor drive; Adaptive control; Control systems; Current control; Drives; Machine vector control; Permanent magnet motors; Programmable control; Uncertainty; Vehicle driving; Velocity control; Adaptive Inverse Control; Electric Vehicle; PMSM; Vector Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212190
Filename :
5212190
Link To Document :
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