Model Reference Adaption Identification Control Research Based on the Asynchronous Motor Vector Control System Model

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Abstract:

Using the easily measured stator current and voltage information of asynchronous motor to get Motor speed by the Model reference adaptive algorithm. MRAS simulation model is builded with the PSIM, thus for system control. Through simulation and experiment in the different frequency and speed condition, contrasted the given speed, actual speed, estimation speed, it shows that the method has good speed identification precision and dynamic performance.

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1175-1179

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ni Tao: The Application of the Fuzzy Adaptive PID Control Method on the Vector Control of the Brushless DC Motor. Huanggang Polytechnic College, Huanggang 438002, China. (2011).

Google Scholar

[2] Zhang Hailong, Zhang Ailing and Cui Jiangxia: Study of Speed Sensorless Direct Torque Control System Based on MRAS. Journal of Electric Power. (2005). p.4.

Google Scholar

[3] Zhou Yanqing, Yin Huajie, and Luo Yongji: Improvement and Simulation Study of Speed Sensorless Vector Control System Based on MRAS. Explosion-proof motor. 1-5 (January 2008).

Google Scholar

[4] Zhang Jianling, An Jinwen: Adaptive Fuzzy Control based on Popov Stability Criterion. Fire Control & Command Control (November 2007). p.11.

Google Scholar

[5] Xue Hua, Ji Zhicheng: Study and Realization of Model Reference Adaptive Control for Brushless Motor Based on Matlab. Small & medium-sized motor (2004).

Google Scholar