Ma Limei, Sui Jin-ling, Wang Fangzhou, and  Wu Bo. Structure optimization design of electromagnetic radial bearing based on genetic algorithm
Dynamic Systems and Applications 29 (2020) No. 4, 1144 – 1157

https://doi.org/10.46719/dsa202029410

ABSTRACT.
The electromagnetic bearing is a typical mechatronic system, which has no mechanical friction, no lubrication and high positioning accuracy. It is widely concerned in the engineering field. Based on this, this paper puts forward the optimal design of electromagnetic radial bearing. Firstly, the research situation and main optimization methods of the electromagnetic bearing are introduced briefly, and the genetic algorithm is proposed to optimize the structure of the electromagnetic radial bearing. The digital model of the electromagnetic radial bearing is established, and the calculation of the electromagnetic force is introduced in detail. The excellent characteristics of the genetic algorithm are used to optimize the electromagnetic axis by dynamic programming and multi-objective function. Finally, the optimal parameters are obtained. The validity of the optimization algorithm is verified. Using the simulation test method, the debugging method of the electromagnetic bearing is given, and the influence of various factors of the electromagnetic bearing on the electromagnetic force is discussed.

Keyword: Electromagnetic radial bearing; genetic algorithm; electromagnetic force; heat loss