永磁同步电机无速度传感器控制离散化方法研究

doi:10.19595/j.cnki.1000-6753.tces.L80747

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Abstract Applying model reference adaptive system (MRAS) based on stator current to the sensorless control of permanent magnet synchronous motor (PMSM) is simple and strongly robust to the parameter changes. This method is suitable for rotor angle estimation in the middle or high speed areas. When the algorithm is implemented in a digital processor, it is necessary to convert the continuous motor time domain model into a discrete model. The commonly used forward Euler method cannot construct an accurate adjustable model with the increase of the discretization step size. This article takes the speed sensorless control of interior permanent magnet synchronous motor (IPMSM) as target and analyze the effect of 7 different discretization methods on rotor angle estimation accuracy when switching frequency changes. Simulation and experimental results show that when the switching frequency is greater than 5kHz, the forward Euler or step invariant transformation method can be used to save the controller computing resources and prevent the digital system from exceeding the time limit. At low switching frequency of 2kHz, the ramp invariant transformation or time shifted step invariant transformation method can be used to balance the rotor angle estimation accuracy and operate time requirement which is more suitable for high power and low switching frequency field.

Key words： Interior permanent magnet synchronous motor speed sensorless model reference adaptive system digital control discretization method

Received: 01 July 2018 Published: 29 July 2019

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TM341

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	Xu Zhongyang
	Guo Xizheng
	Zou Fangshuo
	You Xiaojie
	Qiu Tengfei

Cite this article:

Xu Zhongyang,Guo Xizheng,Zou Fangshuo等. Research on Digital Discretization Method of Speed Sensorless Control for Permanent Magnet Synchronous Motor[J]. Transactions of China Electrotechnical Society, 2019, 34(zk1): 52-61.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L80747 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/Izk1/52

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