基于遗传算法的内埋式永磁同步电机参数辨识方法

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Abstract On account of the reverse salient pole characteristic and defects of the traditional parameter identification method, this article puts forward a parameter identification method based on genetic algorithms combine with the mathematical model of the motor. This method can identify the four parameters in same time such as the stator resistance, the d-axis inductance, the q-axis inductance and the permanent magnet flux. The signal used in the method are all can be directly detected the state variables so it can reduce the influence of the other disturbance on the motor parameters identification and improve the accuracy of the parameter identification. Simulation and experimental results show that the genetic algorithm to identify the parameters has a strong robustness and convergence. Four pending identification parameters can converge to the true value in a relatively short time and has a high accuracy no matter in the different speeds, loads and control strategies. It also overcomes the drawback of high requirements in the initial parameter values which in the commen genetic algorithm to identify.

Key words： Interior permanent magnet synchronous motor genetic algorithm parameter identification

Received: 10 September 2013 Published: 17 June 2014

PACS:

TM341

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	Articles by authors
	Xiao Xi
	Xu Qingsong
	Wang Yating
	Shi Yuchao

Cite this article:

Xiao Xi,Xu Qingsong,Wang Yating等. Parameter Identification of Interior Permanent Magnet Synchronous Motors Based on Genetic Algorithm[J]. Transactions of China Electrotechnical Society, 2014, 29(3): 21-26.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I3/21

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