计算机工程与应用2011，Vol.47Issue(1)：215-216,227,3.DOI:10.3778/j.issn.1002-8331.2011.01.061
基于粒子群优化算法电机转子故障诊断研究
Research of rotor faults in motor based on particle swarm optimization
摘要
Abstract
A rotor fault diagnosis of induction motor is presented based on particle swarm optimization.To identify rotor resistance of induction under fault condition,rotor flux error is used as fitness of all particles in the population,and the parameter of rotor flux current model is adaptively adjusted.The simulation shows the insensitivity of the technique to load variation,supply voltage variation,and the advantage of high operation effficiency,fast convergence and good identification results.关键词
反向粒子群优化/感应电机/故障诊断Key words
oppositional particle swarm optimization/induction motor/ faults diagnosis分类
信息技术与安全科学引用本文复制引用
阳同光,蒋新华..基于粒子群优化算法电机转子故障诊断研究[J].计算机工程与应用,2011,47(1):215-216,227,3.基金项目
国家高技术研究发展计划(863)(the National High-Tech Research and Development Plan of China under Grant No.2006AA11Z230) （863）
湖南省科技厅支持项目(No.2010JF3058) （No.2010JF3058）
湖南省教育厅科研项目(No.01CO118). （No.01CO118）
