Fuzzy control of permanent magnet synchronous motor for new energy vehicle based on MFO algorithm

Yun Gao

doi:10.1117/12.3030646

5 June 2024 Fuzzy control of permanent magnet synchronous motor for new energy vehicle based on MFO algorithm

Yun Gao

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131637C (2024) https://doi.org/10.1117/12.3030646
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

Affected by the electromagnetic relationship, physical characteristics and operation status of the motor, the corresponding accuracy is difficult to reach 100% when it is controlled. Therefore, a fuzzy control method for synchronous motor with permanent magnet of new energy vehicles based on MFO algorithm is proposed. On the basis of fully analyzing the electromagnetic relationship, physical characteristics and operation status of the synchronous motor with permanent magnet of new energy vehicles, the mathematical model is constructed from the four perspectives of voltage, flux linkage, torque and motion. In the specific control phase, MFO algorithm is introduced, The objective function is set according to the objective demand of the fuzzy control of the Synchronous Motor with Permanent Magnet of the actual new energy vehicle, and the final optimization result of the moth is optimized by combining the position of the fire source and the brightness iteration, which is taken as the control result. In the test results, the designed control method not only achieved the fastest convergence, but also achieved high-precision control with the corresponding overshoot of 0.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yun Gao "Fuzzy control of permanent magnet synchronous motor for new energy vehicle based on MFO algorithm", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131637C (5 June 2024); https://doi.org/10.1117/12.3030646

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KEYWORDS

Fuzzy logic

Magnetism

Electromagnetism

Mathematical optimization

Process control

Control systems

Fire

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