PID Parameter Tuning Method of Reluctance Motor Based on Improved RBF-AHP Algorithm

During the operation of a reluctance motor (RM), the output torque fluctuates periodically. Meanwhile, torque pulsation causes the motor rotor to produce unstable torque during rotation, resulting in noise radiation. This paper proposes the PID parameter tuning method based on an improved RBF-AHP algorithm to solve the above problem. RBF-AHP algorithm is a multi-attribute decision-making algorithm, which combines radial basis function and analytic hierarchy method. The RBF-AHP algorithm uses the results of the RBF model to calculate the weight and the AHP algorithm to take the consistency test, rather than directly using the original judgment matrix. The weight of RBF-AHP is used for total hierarchy ranking, and the final decision result is obtained. To verify the effectiveness of the proposed method, MATLAB/Simulink software is used to simulate the SRM torque control system based on the improved RBF-AHP algorithm, and the system oscillation is effectively reduced.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icdsca63855.2024.10860245
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

PID Parameter Tuning Method of Reluctance Motor Based on Improved RBF-AHP Algorithm

Jiahao Cheng, Yuhang Zeng, Chang Liu
Advanced Algorithms and Applications
article

PID Parameter Tuning Method of Reluctance Motor Based on Improved RBF-AHP Algorithm

Jiahao Cheng, Yuhang Zeng, Chang Liu
article en

Abstract

During the operation of a reluctance motor (RM), the output torque fluctuates periodically. Meanwhile, torque pulsation causes the motor rotor to produce unstable torque during rotation, resulting in noise radiation. This paper proposes the PID parameter tuning method based on an improved RBF-AHP algorithm to solve the above problem. RBF-AHP algorithm is a multi-attribute decision-making algorithm, which combines radial basis function and analytic hierarchy method. The RBF-AHP algorithm uses the results of the RBF model to calculate the weight and the AHP algorithm to take the consistency test, rather than directly using the original judgment matrix. The weight of RBF-AHP is used for total hierarchy ranking, and the final decision result is obtained. To verify the effectiveness of the proposed method, MATLAB/Simulink software is used to simulate the SRM torque control system based on the improved RBF-AHP algorithm, and the system oscillation is effectively reduced.

Jiangnan University (CN), Chongqing University (CN)
Affordable and clean energy
Openalex Percentile: Top 67%
Advanced Algorithms and Applications
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