Author(s)

Guanyou Guo ¹

Affiliation(s)

¹ Xinxiang Aviation Industry (Group) Co., Ltd., Xinxiang, Henan, 453700, China

Corresponding Author

Guanyou Guo

ABSTRACT

This paper takes the feedforward compensation control of permanent magnet synchronous motor based on load period fluctuation as the research object. By analyzing the influence of load period fluctuation on motor performance, a feedforward compensation control strategy is proposed. Firstly, the influence of load period fluctuation on motor torque and speed is studied by establishing the mathematical model of motor. Then, a feedforward compensation controller based on load period fluctuations is designed to offset the torque and speed fluctuations caused by load fluctuations. Finally, the effectiveness of the control strategy in reducing the influence of load fluctuation on motor performance is verified by simulation experiments. The experimental results show that the torque and speed fluctuation of the motor are significantly reduced by using the feedforward compensation control strategy, and the stability and performance of the motor are improved. Therefore, the feedforward compensation control of permanent magnet synchronous motor based on load period fluctuation has good application potential and development prospect.

KEYWORDS

Load period fluctuation; Permanent magnet synchronous motor; Feedforward compensation control

CITE THIS PAPER

Guanyou Guo, Research on feedforward compensation control of permanent magnet synchronous motor based on load period fluctuation. Automation and Machine Learning (2023) Vol. 4: 7-16. DOI: http://dx.doi.org/10.23977/autml.2023.040302.

REFERENCES

[1] Ma'd E, Maher A, Imran B. Autonomous fault detection and diagnosis for permanent magnet synchronous motors using combined variational mode decomposition, the Hilbert-Huang transform, and a convolutional neural network [J]. Computers and Electrical Engineering, 2023, 110. 
[2] Ayoub A, Walter L, Florian V. Impact of scaling laws of permanent magnet synchronous machines on the accuracy of energy consumption computation of electric vehicles [J]. e-Transportation, 2023, 18. 
[3] Wantong W, Yulin W, Qiang W. Design of sensorless permanent magnet synchronous motor controller based on improved sliding mode observer [J]. Journal of Physics: Conference Series, 2023, 2558(1). 
[4] Tongyue C, Tiantian L. Intelligent Parameter Identification and Sensorless Control of Permanent Magnet Synchronous Motor [J]. Journal of Physics: Conference Series, 2023, 2561(1).

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