基于模糊神经网络的无刷直流电动机调速系统  

Brushless DC Motor Speed Control System Based on Fuzzy Neural Network Control

作　　者：范虎[1] 吕永健[1] 邹强[1] 

机构地区：[1]空军工程大学,陕西西安710038

出　　处：《微特电机》2010年第1期37-39,共3页Small & Special Electrical Machines

摘　　要：无刷直流电动机是一种多变量、非线性的控制系统,采用经典的PID控制难以得到满意的控制效果。在分析无刷直流电动机数学模型基础上,提出了一种把高斯基函数作为隶属函数设计无刷直流电动机模糊神经网络控制器的新方法。仿真表明,系统响应速度快,抗干扰能力强,具有较高的控制精度和较好的鲁棒性。As brushless DC motor （BLDCM） is a multi-variable and non-linear system, using conventional PID control can not obtain satisfied control effect. Based on the mathematical model of BLDCM, a fuzzy neural network controller was designed to control BLDCM, and the membership function was composed by Guass function. The system illustrates that excellent flexibility and adaptability as well as high precision and good robustness are obtained by the proposed strategy.

关 键 词：高斯基函数 无刷直流电动机 模糊神经网络 学习算法 

分 类 号：TM33[电气工程—电机]