Research on fuzzy control system of magnetic coupler based on particle swarm optimization

Xinyuan Wang; Feng Zhou

doi:10.1117/12.2670489

1 June 2023 Research on fuzzy control system of magnetic coupler based on particle swarm optimization

Xinyuan Wang, Feng Zhou

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126252E (2023) https://doi.org/10.1117/12.2670489
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

Magnetic coupler, as a new non-contact connection mechanism, has the technical advantages that the conventional connection device does not have, such as convenient installation and maintenance, reliable overload protection, good isolation and damping effect, etc., so it has been widely used in different occasions. Especially for the special work of underground coal mine, the fuzzy control system of magnetic coupler designed by particle swarm optimization can respond to the control signal quickly, and ensure the stability and smoothness of the signal in the book area. Therefore, after understanding the principle of particle swarm optimization algorithm (PSO) and magnetic coupler system, this paper proposes a magnetic coupler fuzzy control system with PSO algorithm as the core, fuzzy control rule weight and quantization scale factor from the special situation of coal mine operation. The final experimental results show that the fuzzy control algorithm optimized by PSO is more stable than the traditional fuzzy control algorithm, and the practical control accuracy is stronger, which meets the work needs of underground coal mine operation.

Citation Download Citation

Xinyuan Wang and Feng Zhou "Research on fuzzy control system of magnetic coupler based on particle swarm optimization", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126252E (1 June 2023); https://doi.org/10.1117/12.2670489

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