内置式永磁同步电机无位置传感器自适应集总电动势模型预测控制

doi:10.19595/j.cnki.1000-6753.tces.180942

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Abstract

Finite-control-set model predictive control (FCS-MPC) has attracted ever-increasing applications in the interior permanent magnet synchronous motor (IPMSM) drives. However, in the sensorless control domain, the FCS-MPC suffers from parameter dependence and has difficulties in implementing traditional position estimation methods. Therefore, this paper proposed a sensorless adaptive lumped electromotive-force model predictive control (SALE-MPC) method for the IPMSM drives without position sensors. In SALE-MPC, the inherent discrete switching nature of the FCS-MPC is used as the excitation, which enables the position estimation in wide speed range including the zero-speed estimation and the initial polarity detection. The proposed Adaptive Lumped Electromotive-force prediction model works without using the actual machine parameters, which avoids the parameter dependence. The traditional high frequency signal injection is replaced by the inherent excitation of the FCS-MPC. In this way, the interruption to the fundamental control is reduced, and the complex signal processing and filter design procedures are avoided. Theoretical analysis and experimental results validated the proposed method.

Key words： Interior permanent magnet synchronous motor (IPMSM) sensorless control finite- control-set model predictive control (FCS-MPC) parameter sensitivity

Received: 05 June 2018 Published: 29 December 2018

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TM351

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	Chen Zhuoyi
	Qiu Jianqi
	Jin Mengjia

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Chen Zhuoyi,Qiu Jianqi,Jin Mengjia. Sensorless Adaptive Lumped Electromotive-Force Model Predictive Control of Interior Permanent Magnet Synchronous Motors[J]. Transactions of China Electrotechnical Society, 2018, 33(24): 5659-5669.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180942 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I24/5659

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