微型机与应用2012，Vol.31Issue(9)：69-71,3.
无刷直流电机的RBF神经网络自适应控制研究
Research on RBFNN self-adaptive PID controller for brushless DC motor control system
王斌 1杨旭玮 1余茂全1
作者信息
- 1. 合肥工业大学电气与自动化工程学院,安徽合肥230009
- 折叠
摘要
Abstract
Aiming at the weakness that traditional PID controller can＇t adjust themselves according to parameter variation of BLDCM, based on the mathematical model of the brushless DC motor, a control strategy which is based on Radial Basis Function Neural Network is provided for BLDCM control system. The experiment result which is based on the environment of Matlab/Simulink show that this control strategy has better dynamic and static characteristics than traditional PID control strategy, reducing the steadystate error of the system and improve the adaptive capacity and anti-jamming, meet performance requirements.关键词
无刷直流电机：自适应控制/Matlab／SimulinkKey words
brushless DC motor/self-adaptive control/Matlab/Simulink分类
信息技术与安全科学引用本文复制引用
王斌,杨旭玮,余茂全..无刷直流电机的RBF神经网络自适应控制研究[J].微型机与应用,2012,31(9):69-71,3.
