DocumentCode :
267312
Title :
H speed observer of permanent magnet synchronous motor based on immune algorithm
Author :
Qun Zhu ; Zhonggang Yin ; Yanru Zhong
Author_Institution :
Dept. of Electr. Eng., Xi´an Univ. of Technol., Xi´an, China
fYear :
2014
fDate :
5-8 Nov. 2014
Firstpage :
676
Lastpage :
681
Abstract :
In order to improve the performance and the stability of the sensorless vector control system for permanent magnet synchronous motor, H speed observer of permanent magnet synchronous motor based on Immune Algorithm (IA) is proposed in this paper. The H speed observer is used instead of speed sensor to implement the speed identification for permanent magnet synchronous motor. The problem that the weighting factor of the observer is difficult to be selected, restricts its application of high-performance in the variable frequency system. So the IA algorithm is introduced into the H speed observer, and the observer coefficient is optimized by taking full advantage of the adaptability of IA algorithm. Therefore, the performance of the sensorless vector control system for permanent magnet synchronous motor is improved better. The simulation and experimental results verify the correctness and effectiveness of the algorithm.
Keywords :
H control; angular velocity control; machine vector control; observers; permanent magnet motors; sensorless machine control; synchronous motors; H∞ speed observer; IA algorithm; immune algorithm; observer coefficient optimization; observer weighting factor; permanent magnet synchronous motor; sensorless vector control system stability; speed identification; variable frequency system; Immune system; Machine vector control; Mathematical model; Observers; Permanent magnet motors; Stators; Synchronous motors; H speed observer; Immune algorithm; PMSM; Riccati equation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Application Conference and Exposition (PEAC), 2014 International
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/PEAC.2014.7037938
Filename :
7037938
Link To Document :
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