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A multi-objective optimization study on the electromechanical system for a space mechanism based on a Catboost surrogate model and NSGA-III algorithm

作     者:Zhang, Xiuhua Liu, Huaiju Hu, Mingzhu Zhang, Yangming Zhu, Caichao 

作者机构:Chongqing Univ State Key Lab Mech Transmiss Adv Equipment Chongqing 400030 Peoples R China 

出 版 物:《EXPERT SYSTEMS WITH APPLICATIONS》 (Expert Sys Appl)

年 卷 期:2025年第268卷

核心收录:

学科分类:1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:National Key Research and Devel-opment Program of China [2022YFB3402800] 

主  题:Space mechanism Electromechanical system Surrogate model NSGA-III algorithm Performance optimization 

摘      要:The electromechanical system is a critical component of space mechanisms, tasks with roles such as the installation and maintenance of space station equipment, as well as docking and separation of spacecraft. There is a continuous demand for large torque, high efficiency, long life, and lightweight design for the electromechanical system of space mechanisms. To meet the design requirements of electromechanical system for a space mechanism, a multi-objective optimization model based on the Catboost surrogate approach and the NSGA-III algorithm is developed, which rapidly solves for 71 structural parameters. With the goals of lightweight, high reliability and high efficiency, a reduction of 3.80% in weight, an improvement of 10.71% in strength and an improvement of 6.71% in transmission efficiency are achieved. This study provides a design approach for the development of next-generation transmission system for space mechanisms.

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