基于遗传算法的感应电机效率优化控制研究  

Research on Efficiency Optimization Control of Induction Motor Based on Genetic Algorithm

作　　者：马秀娟 刘金凤 李宏宇 张华强 

机构地区：[1]哈尔滨工业大学(威海)自动化研究所,威海264209

出　　处：《微电机》2013年第10期36-40,共5页Micromotors

基　　金：科技部创新基金(11C26223702363);山东省中青年科学家奖励基金(BS2010NJ001);山东省科技发展计划基金(2011GGH20411)

摘　　要：运行在额定工况下的感应电机效率较高,但在轻载运行时效率会显著下降,此时具有较大的效率优化空间。在考虑铁损的感应电机稳态数学模型的基础上建立损耗模型,将遗传算法应用于感应电机的效率优化控制,保证电机在输出功率不变的情况下,使电机始终运行在最小损耗状态,达到效率最大目的。仿真结果验证了基于遗传算法的效率优化控制的有效性和正确性。Operated under rated conditions, induction motor is highly efficient. But for light load, the effi ciency is greatly reduced and there is significant margin for efficiency optimization. The loss model was built by the steady state mathematical model of induction motor considering iron losses. The genetic algorithm was applied to the efficiency optimization control of induction motor. The motor was always running in minimum loss state when keeping its constant power, and achieved the purpose of maximum efficiency. Simulation re suits show that the efficiency optimization control based on enetic algorithm is availahilitv andcorrectly.

关 键 词：感应电机 损耗模型 遗传算法 效率优化 

分 类 号：TM346[电气工程—电机]