2023
DOI: 10.1177/16878132231151622
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Sensorless control of permanent magnet synchronous motor based on adaptive back-EMF observer

Abstract: Aiming at the problem that the change of motor parameters in actual operation will significantly reduce the control accuracy of the motor, this paper proposes a sensorless control method of permanent magnet synchronous motor based on an adaptive back-EMF observer. Firstly, in the sensorless vector control algorithm, the mathematical model of the permanent magnet synchronous motor based on the coordinate axis transformation is established, online identification of permanent magnet synchronous motor flux linkage… Show more

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Cited by 4 publications
(3 citation statements)
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“…The Sigmoid function is a common S-shaped growth curve in biology, which is characterized by strict monotonicity and good continuity. It is an excellent threshold function [24], with the following expression (18):…”
Section: Ckf Parameter Adaptive Algorithm Based On Sigmoid-like Funct...mentioning
confidence: 99%
See 1 more Smart Citation
“…The Sigmoid function is a common S-shaped growth curve in biology, which is characterized by strict monotonicity and good continuity. It is an excellent threshold function [24], with the following expression (18):…”
Section: Ckf Parameter Adaptive Algorithm Based On Sigmoid-like Funct...mentioning
confidence: 99%
“…Moreover, this study also compares the experiments wherein the measurement noise covariance matrix of the improved algorithm is not updated using the Sigmoid function but continues to use the noise R(299th) from the previous moment at the reference checkpoint in the interval of (300, 400th) times. At this point in the interval, the estimated covariance matrix P zz,k|k−1 is expressed as follows (24):…”
Section: Experimental Analysis Of Inaccurate Algorithmic Model Estima...mentioning
confidence: 99%
“…To ensure its control performance, its controller needs to be designed in combination with the mathematical model of the system. Microprocessor technological advancements in recent years have contributed to the increasing use of Finite Set Model Predictive Control (FCS-MPC) in the control of PMSM drives [1]. The process of creating predictive models for different goals based on the motor model is known as model predictive control, which is sensitive to the motor parameters.…”
Section: Introductionmentioning
confidence: 99%