基于递推最小二乘法的永磁伺服系统参数辨识

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Abstract The permanent magnet servo control system must have features of parameter identification and parameter self-tuning to get better dynamic performance in a complex environment.Among them,the identification of inertia and load torque has the first priority.In this paper,the zero-order holder is introduced to discretize the motion equation of the motor.And the influence of the friction coefficient on the identification results is taken into consideration.The inertia,the load torque,and the friction coefficient can be identified simultaneously using the recursive least square method with a forgetting factor.In the Matlab/Simulink library model,the parameters cannot be modified on-line dynamically.So the improved PMSM model is proposed.Then the servo system simulation control model is built up.The constant and the variable parameters of dynamitic simulation are conducted.Finally,the experiments are carried out on the stm32 micro controller.The simulation and experimental studies show that the motor discrete model and the parameter identification method proposed in the paper have a certain accuracy and real-time property.The simulation results show the usefulness of the improved PMSM model in the variable parameter simulation study.

Key words： Permanent magnet synchronous motor dynamic performance parameters identification discrete model recursive least squares method with a forgetting factor

Received: 22 February 2015 Published: 18 September 2016

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TM351

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	Articles by authors
	Xun Qian
	Wang Peiliang
	Li Zuxin
	Cai Zhiduan
	Qin Haihong

Cite this article:

Xun Qian,Wang Peiliang,Li Zuxin等. PMSM Parameters Identification Based on Recursive Least Square Method[J]. Transactions of China Electrotechnical Society, 2016, 31(17): 161-169.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I17/161

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