Multi-Objective Optimization of 12-Pole Radial Active Magnetic Bearings with Preference-Based MOEA/D Algorithm

Xueqing Li, Xiaoyuan Wang () and Haoyu Shen
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Xueqing Li: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Xiaoyuan Wang: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Haoyu Shen: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China

Energies, 2025, vol. 18, issue 16, 1-17

Abstract: In this paper, the multi-objective optimization of the 12-pole radial active magnetic bearing (RAMB) is investigated. In the optimization of the RAMB, the decision-maker is more interested in the Pareto-optimal solutions in a certain region. This paper proposes a decomposition-based and preference-based multi-objective evolutionary algorithm (MOEA/D-Pref). The proposed MOEA/D-Pref not only allows the number of Pareto-optimal solutions to be more concentrated in the region of interest but also preserves solutions in other regions. These preserved solutions enable decision-makers to observe a more complete Pareto front, thus gaining more comprehensive insights. In this paper, a mathematical model of the 12-pole RAMB is established, and, with the help of this model and the proposed algorithm, the optimal design of the 12-pole RAMB is completed. The difference between the current stiffness coefficients of the optimized RAMB, calculated by the proposed algorithm and by the finite element method, is 2.3%. The difference between the displacement stiffness coefficient of the optimized RAMB as calculated by the proposed algorithm and by the finite element method is 3.9%. These differences, being less than 4%, are relatively low and verify the reliability of the mathematical model established.

Keywords: magnetic bearing; multi-objective optimization; decomposition-based multi-objective evolutionary algorithms (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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