无刷直流电机调速系统模糊神经网络控制新方法  

A novel fuzzy neural network control strategy of BLDCM speed servo system

作　　者：纪志成[1] 薛花[1] 沈艳霞[1] 

机构地区：[1]江南大学电气传动研究所,江苏无锡214036

出　　处：《电机与控制学报》2004年第1期5-9,共5页Electric Machines and Control

摘　　要：在分析无刷直流电机(BLDCM)数学模型的基础上建立控制系统的仿真模型,提出了用基本样条函数实现BLDCM模糊神经网络速度控制器设计的新方法.在dSPACE环境中构建了BLDCM控制系统硬件,进行了基本样条模糊神经网络调速系统的实时控制实验。结果表明,该方法响应快、超调小、鲁棒性强,动、静态特性均优于传统PI控制。A ccording to the mathematical model of BLDCM,a novel fuzzy neural network control method,which is in he construction of B-spline function,is proposed for controlling the speed servo system.In dSPACE development environment,the BLDCM system real-time experimental platform has been established to testify the different control strategies.The experimental results show the improved performance is superior to the traditional PI controller.It works well with high dynamic and static performance because of its advantage in quick response and good robustness.

关 键 词：无刷直流电机 调速系统 数学模型 模糊神经网络 控制系统 仿真模型 样条函数 

分 类 号：TM33[电气工程—电机] TP183[自动化与计算机技术—控制理论与控制工程]