Multi-Objective Hierarchical Optimization Design of Compound Electromagnetic Linear Actuator

View at publisher
Authors: Xu Shanzhen, Zhang Qing, Shen Xin, Hao Kangqi, Fan Xinyu, Fan Aimin, Zhu Jianhui, Wang Cheng
Cited by: 0
References: 19

Abstract

Conventional electromagnetic linear actuators (ELA) have difficulty in balancing efficiency, response and accuracy, so a novel compound ELA is researched, featuring a coaxial integrated design of moving coil and moving iron actuators that switch between co-drive mode and separate drive mode based on the service environment. In order to further enhance the comprehensive performance of the actuator and improve its adaptability to extreme working conditions, a multi-objective hierarchical optimization strategy was proposed based on the NSGA-II algorithm by analyzing its structural principle, magnetic circuit characteristics and electromagnetic force characteristics. The moving coil actuator, as the main driving component, and the moving iron actuator, as the auxiliary driving component, are selected as the first- and second-layer optimization objects for multi-objective optimization design. Results indicate that the actuator achieves starting forces of 587.6[Formula: see text]N and 191.4[Formula: see text]N under cooperative drive mode and separate drive mode, respectively. Following optimization, these forces increased by approximately 2.2% and 22.4%, while the mover mass was reduced by about 7.2%. The actuator’s thrust density, response speed, and structural compactness were effectively enhanced. The proposed approach can be used to solve the complex multi-objective optimization tasks in ELA designing.

Fields of Study & Subjects

Electric Motor Design and Analysis Advanced Multi-Objective Optimization Algorithms Magnetic Properties and Applications

Publication details

Journal / source
International Journal of Pattern Recognition and Artificial Intelligence
Volume
40
Issue
08
Publication date
12 February 2026
Language
EN