无刷直流电机反电动势估计方法

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Abstract Permanent magnet brushless DC motor(BLDC) has been widely applied in industry because it has high power density,high torque/current ratio and simple control advantages. However,back-EMF method of BLDC of traditional estimation for the motor position,its hardware circuit is relatively complex,real-time performance is poor,which limits the application of BLDC. This paper presents a new method of BLDC back-EMF detection method based on the extended Kalman filter,through the derivation in the BLDC based on the mathematical model,the stator current and back-EMF voltage as the state variable,establish the extended Kalman filter model. This algorithm does not need any additional detection circuit,it can realize steady state and transient accurate commutation and the precise control of motor speed. The experiment results show that the proposed algorithm is effective and feasible.

Key words： Brushless DC motor(BLDC) extended Kalman filter back-EMF estimation zero-crossing detection

Received: 08 September 2012 Published: 11 December 2013

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TM351

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	Articles by authors
	Liu Dongliang
	Cui Yanfei
	Chen Meibin

Cite this article:

Liu Dongliang,Cui Yanfei,Chen Meibin. Research of Back-EMF Estimation for Brushless DC Motor[J]. Transactions of China Electrotechnical Society, 2013, 28(7): 52-58.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2013/V28/I7/52

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