基于模型预测锁相环的永磁同步电机转子位置估计方法

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Abstract Considering the problems of slow response speed and low tracking accuracy in estimating the rotor position of permanent magnet synchronous motor (PMSM) using traditional phase locked loop (PLL), a rotor position estimation method based on model prediction-PLL (MP-PLL) is proposed. First, the principle of PMSM model predictive control is analyzed. The traditional model predictive control method is combined with PLL, and an MP-PLL structure is proposed. On this basis, the rotor position is estimated by combining the discrete position search algorithm, and the discrete position search is efficiently optimized, which greatly improves the performance of MP-PLL in a wide speed range, improving its robustness and rotor position estimation accuracy. Finally, simulation and experimental verification are performed, and the results show that the proposed MP-PLL has better response performance than the traditional PLL under changes in PMSM parameters and can estimate the rotor position quickly and accurately.

Key words： permanent magnet synchronous motor (PMSM) estimation of rotor position phase locked loop (PLL) model prediction

Received: 18 February 2024

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	Articles by authors
	YU Linxin
	YUAN Xin
	DING Guohua
	SHENG Xiaowei
	FEI Lianyue

Cite this article:

YU Linxin,YUAN Xin,DING Guohua等. Research on sensorless control of permanent magnet synchronous motor based on model predictive method based phase locked loop[J]. Electrical Engineering, 2024, 25(8): 18-26.

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http://dqjs.cesmedia.cn/EN/Y2024/V25/I8/18

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