人工智能在直流无刷电动机中的应用现状及进展  

Actuality and Development of Artificial Intelligent Applied in Permanent Magnet Brushless DC Motor

作　　者：张林森[1] 谢顺依[1] 胡平[1] 王鼎[1] 刘小虎[1] 

机构地区：[1]海军工程大学,武汉市430033

出　　处：《微电机》2010年第11期73-76,共4页Micromotors

基　　金：国防"十一五"重点科技攻关项目(01010601202)

摘　　要：人工智能控制以其自学习、自适应、自组织能力在处理复杂的非线性问题方面具有独特优势。在介绍模糊控制技术、神经网络技术、遗传算法、人工免疫控制技术等几种主要智能控制技术的背景、原理和特点的基础上,对这些控制技术在无刷直流电机控制系统应用进展进行归纳总结。Artificial intelligent control technology has idiographic predominance on dealing complicated nonlinear problem because of its self-study,self-adaptive and self-organization capability.Based on the introduction of the control strategy of main intelligent control technology which consists of fuzzy control,artificial neutral network,genetic algorithm and artificial immune feedback,this paper generalized the actuality and development of such algorithms applied in permanent magnet brushless DC motor.

关 键 词：直流无刷电动机 人工智能 模糊控制 神经网络 遗传算法 人工免疫 

分 类 号：TM361[电气工程—电机]