Deadbeat Predictive Algorithm-Based Back EMF Observer for Sensorless Control of PMSM Drives

To improve the sensorless control performance of surface-mounted permanent magnet synchronous machine (SPMSM), this article proposes a back EMF observer based on deadbeat predictive algorithm. As for an observer, the regulatory mechanism is crucial. In the SMO, the observer achieves current state tr...

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Vydáno v:	IEEE transactions on industrial electronics (1982) Ročník 72; číslo 9; s. 8985 - 8994
Hlavní autoři:	An, Quntao, Zhao, Mengji, Ma, Teng, Wu, Youtong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Back electromotive force (EMF) observer deadbeat predictive algorithm Dynamic response Estimation Motors Observers Permanent magnet machines permanent magnet synchronous machine Permanent magnets Phase locked loops Prediction algorithms Regulators Regulatory mechanisms (biology) Rotors Sensorless control Stators Switches Synchronous machines Tracking errors
ISSN:	0278-0046, 1557-9948
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Abstract	To improve the sensorless control performance of surface-mounted permanent magnet synchronous machine (SPMSM), this article proposes a back EMF observer based on deadbeat predictive algorithm. As for an observer, the regulatory mechanism is crucial. In the SMO, the observer achieves current state tracking through the hysteresis control, which leads to the chattering problem. To reduce the current tracking error, the deadbeat control is introduced as a regulator in the proposed new observer. This method estimates the control variables based on the sampled currents. The estimated currents can track the actual values in a single control cycle, which can greatly improve the dynamic response and accuracy of the observer. Furthermore, the characteristic of fast regulation makes it suitable for the low carrier ratio conditions. In this article, the stability and performance analysis are introduced in detail. The experimental results carried out on a 220 V, 1 kW PMSM demonstrate the effectiveness of the proposed method.
AbstractList	To improve the sensorless control performance of surface-mounted permanent magnet synchronous machine (SPMSM), this article proposes a back EMF observer based on deadbeat predictive algorithm. As for an observer, the regulatory mechanism is crucial. In the SMO, the observer achieves current state tracking through the hysteresis control, which leads to the chattering problem. To reduce the current tracking error, the deadbeat control is introduced as a regulator in the proposed new observer. This method estimates the control variables based on the sampled currents. The estimated currents can track the actual values in a single control cycle, which can greatly improve the dynamic response and accuracy of the observer. Furthermore, the characteristic of fast regulation makes it suitable for the low carrier ratio conditions. In this article, the stability and performance analysis are introduced in detail. The experimental results carried out on a 220 V, 1 kW PMSM demonstrate the effectiveness of the proposed method.
Author	Ma, Teng An, Quntao Wu, Youtong Zhao, Mengji
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SubjectTerms	Algorithms Back electromotive force (EMF) observer deadbeat predictive algorithm Dynamic response Estimation Motors Observers Permanent magnet machines permanent magnet synchronous machine Permanent magnets Phase locked loops Prediction algorithms Regulators Regulatory mechanisms (biology) Rotors Sensorless control Stators Switches Synchronous machines Tracking errors
Title	Deadbeat Predictive Algorithm-Based Back EMF Observer for Sensorless Control of PMSM Drives
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