Multi-objective pigeon-inspired optimization for brushless direct current motor parameter design  

作　　者：QIU HuaXin DUAN HaiBin 

机构地区：[1]Bio-inspired Autonomous Flight Systems(BAFS) Research Group, Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University

出　　处：《Science China(Technological Sciences)》2015年第11期1915-1923,共9页中国科学（技术科学英文版）

基　　金：partially supported by the National Natural Science Foundation of China(Grant Nos.61425008,61333004 and 61273054);National Key Basic Research Program of China("973"Project)(Grant Nos.2014CB046401 and 2013CB035503);Top-Notch Young Talents Program of China,Aeronautical Foundation of China(Grant No.20135851042)

摘　　要：Pigeon-inspired optimization(PIO) is a new swarm intelligence optimization algorithm, which is inspired by the behavior of homing pigeons. A variant of pigeon-inspired optimization named multi-objective pigeon-inspired optimization(MPIO) is proposed in this paper. It is also adopted to solve the multi-objective optimization problems in designing the parameters of brushless direct current motors, which has two objective variables, five design variables, and five constraint variables. Furthermore, comparative experimental results with the modified non-dominated sorting genetic algorithm are given to show the feasibility, validity and superiority of our proposed MIPO algorithm.

关 键 词：brushless direct current （BLDC） motor multi-objective pigeon-inspired optimization （MPIO） electromagnetics mul-ti-objective optimization 

分 类 号：TM33[电气工程—电机]