DocumentCode :
3229576
Title :
Artificial immune controller for PMSM speed regulation system
Author :
Liu, Gang ; Yang, Lina
Author_Institution :
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
fYear :
2010
fDate :
23-26 Sept. 2010
Firstpage :
582
Lastpage :
585
Abstract :
Robustness of high-performance induction motor variable frequency speed regulation system is weak owing to the uncertainty of parameters. As a complicated self-adaptable system, the biological immune system can effectively and smoothly deal with various antigen and virus intruded into organism. It is possible to improve the self-learning capability; adaptive capability and robustness of the control system if artificial immunity controller designed by using for reference biological immune system is embed. To solving the control problems of model parameter uncertainty and external disturbance existing in PMSM motor, the traditional problem in the application of the control theory are studied, such as the controller design, realization and application. based on the artificial immune model.
Keywords :
artificial immune systems; control system synthesis; machine control; permanent magnet motors; robust control; synchronous motors; uncertain systems; PMSM speed regulation system; adaptive capability; artificial immunity controller design; control system robustness; high-performance induction motor variable frequency speed regulation system; model parameter uncertainty; permanent magnet synchronous motor; reference biological immune system; selflearning capability; Adaptation model; Biological system modeling; Immune system; Inverters; Load modeling; Stability analysis; Stators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
Type :
conf
DOI :
10.1109/BICTA.2010.5645190
Filename :
5645190
Link To Document :
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