Multi-objective Thermal Optimization of Dual-input Aeronautic Static Inverter Based on MOEA/D

作     者：YAN Jie GE Hongjuan WANG Yongshuai LI Huang 闫洁;葛红娟;王永帅;李煌

作者机构：College of Civil AviationNanjing University of Aeronautics and AstronauticsNanjing 211106P.R.China College of AutomationNanjing University of Aeronautics and AstronauticsNanjing 211106P.R.China 

基　　金：supported by the National Natural Science Foundation of China(Nos.U1933115 U2133203) 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2022年第39卷第S1期

页      码：65-72页

摘      要：To solve the multi-variable and multi-objective optimization problem in the thermal design process of the dual-input aeronautic static inverter,an optimization method based on the combination of the multi-objective evolutionary algorithm based on decomposition(MOEA/D)and the fuzzy set theory is *** heat transfer path of the power device is analyzed and an equivalent heat circuit is *** take junction temperature of the power device,mass,and cost of the heat sink as optimization goals,and take the heat sink structure parameters as design variables to conduct thermal optimization based on MOEA/*** paper carries out a comparative study,and the results show that the proposed improved algorithm can meet the different requirements for multi-objective weights,and have good rapidity and robustness.

主 题 词：aeronautic static inverter thermal optimization heat sink MOEA/D fuzzy set theory 

学科分类：08[工学] 0825[工学-环境科学与工程类] 

核心收录：

D　O　I：10.16356/j.1005-1120.2022.S.009

馆 藏 号：203115469...