烟台大学学报（自然科学与工程版）2017，Vol.30Issue(4)：317-322,6.DOI:10.13951/j.cnki.37-1213/n.2017.04.009
MOPSO算法在Boost变换器优化设计中的应用
Application of MOPSO Algorithm in Optimal Design for Boost Converter
摘要
Abstract
In order to improve the efficiency and reduce the system cost of Boost converter,the design of Boost converter based on multi-objective particle swarm optimization (MOPSO) algorithm is proposed in this paper.First,the power losses of Boost converter are analyzed.According to the design requirements,the suitable MOSFET,diode,inductor and capacitor are selected to establish the discrete database.Taking the database as constraint condition,regard power losses,system costs and volume assessment model as objective functions,the multi-objective optimization design model of Boost converter is built and by the utilization of MOPSO algorithm,the optimal solution set of Pareto can be calculated from hundreds of combination solutions.Based on compromise analysis,for different design requirements,the proper device of converter can be selected.A pre-stage Boost converter of photovoltaic system is used as an example to carry out simulation research.The results show that MOPSO is capable of the discrete multi-objective optimization problems,and can find compromise solutions in short time which,prove the effectiveness of MOPSO algorithm.关键词
MOPSO/效率/Boost变换器/优化设计Key words
ulti-objective particle swarm optimization algorithm using matlab/efficiency/Boost converter/optimization design分类
数理科学引用本文复制引用
王凯丽,张巧杰..MOPSO算法在Boost变换器优化设计中的应用[J].烟台大学学报（自然科学与工程版）,2017,30(4):317-322,6.基金项目
国家自然科学基金资助项目(51477011) （51477011）
北京市自然科学基金重点资助项目(KZ201511232035) （KZ201511232035）
北京市属高校科技创新能力提升计划项目(TJSHG201310772024). （TJSHG201310772024）
