神经网络在无刷直流电机控制系统中的应用  

Summary for Applications of Neural Networks in Brushless DC Motor Control Systems

作　　者：程声烽 程小华[1] 

机构地区：[1]华南理工大学电力学院,广东广州510640

出　　处：《电机与控制应用》2014年第4期12-16,共5页Electric machines & control application

摘　　要：由于具有能逼近任意非线性函数、能进行自学习以适应环境的变化等特点,神经网络已广泛应用于无刷直流电机(BLDCM)控制系统之中。从辨识、控制、优化计算及与其他控制算法结合四个方面详细介绍了神经网络在BLDCM控制系统中的应用,并对神经网络在BLDCM中的发展现状作了讨论和展望。Due to the fact that neural network has the characteristics of approximating any nonlinear function,and self learning to adapt to the changes in the environment etc,the neural network has been widely used in brushless DC motor（ BLDCM） control system.From four aspects of the identification,control,optimization,and combined with other control algorithm,the neural network in the BLDCM control system was introduced in detail,and the development status of neural networks in the BLDCM control systems was discussed and prospected.

关 键 词：神经网络 无刷直流电动机 控制系统 综述 

分 类 号：TM361[电气工程—电机] TP273.5[自动化与计算机技术—检测技术与自动化装置]