Hybrid membrane computing and pigeon-inspired optimization algorithm for brushless direct current motor parameter design  

作　　者：DENG YiMin ZHU WeiRen DUAN HaiBin DENG YiMin;ZHU WeiRen;DUAN HaiBin(Bio-inspired Autonomous Flight Systems (BAFS) Research Group, Science and Technology on Aircraft Control Laboratory, Beihang University;School of Automation Science and Electrical Engineering, Beihang University)

机构地区：[1]Bio-inspired Autonomous Flight Systems (BAFS) Research Group, Science and Technology on Aircraft Control Laboratory, Beihang University [2]School of Automation Science and Electrical Engineering, Beihang University

出　　处：《Science China(Technological Sciences)》2016年第9期1435-1441,共7页中国科学（技术科学英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.61425008,61333004&61273054);Aeronautical Foundation of China(Grant No.2015ZA51013)

摘　　要：In this paper, a novel approach is proposed for solving the parameter design problem of brushless direct current(BLDC) motor, which is based on the membrane computing(MC) and pigeon-inspired optimization(PIO) algorithm. The motor parameter design problem is converted to an optimization problem with five design parameters and six constraints. The PIO algorithm is introduced into the framework of MC for improving the global convergence performance. The hybrid algorithm can improve the population diversity with better searching efficiency. Comparative simulations are conducted, and comparative results are given to show the feasibility and effectiveness of our proposed hybrid algorithm for high nonlinear optimization problems.

关 键 词：brushless direct current（BLDC） motor pigeon-inspired optimization（PIO） membrane computing（MC） 

分 类 号：TM33[电气工程—电机]