Sensorless Control of Interior Permanent Magnet Synchronous Motor in Low-Speed Region Using Novel Adaptive Filter

Lisi Tian, Jin Zhao and Jiajiang Sun
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Lisi Tian: School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China
Jin Zhao: School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Jiajiang Sun: School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2016, vol. 9, issue 12, 1-18

Abstract: This paper presents a novel position and speed estimation method for low-speed sensorless control of interior permanent-magnet synchronous machines (IPMSMs). The parameter design of the position and speed estimator is based on the sampled current rather than the motor electrical parameters. The proposed method not only simplifies the parameter design, it enables the estimator to work normally even in the condition that the electrical parameters are uncertain or varied. The adaptive filters are adopted to extract the desired high frequency current. The structure and corresponding transfer function are analyzed. To address the shortage of insufficient stop-band attenuation, the structure of the adaptive filter is modified to provide suitable bandwidth and stop-band attenuation simultaneously. The effectiveness of the proposed sensorless control strategy has been verified by simulations and experiments.

Keywords: interior permanent magnet synchronous motor (IPMSM); sensorless control; adaptive filter; speed estimation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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