电力系统及其自动化学报2011，Vol.23Issue(3)：30-34,5.
开关磁阻电机模糊神经网络PID转速控制
Fuzzy Neural Network PID Speed Control of Switched Reluctance Motor
摘要
Abstract
Aiming at the problem that the switched reluctance drive is difficult to control, this paper proposes a new approach based on fuzzy FCMAC neural network PID control. The main idea of the new approach is to constitute fuzzy FCMAC neural network with the real-time adjustment of PID control parameters through combining Ma Danni direct-rationalistic method with CMAC neural network. The simulation results show that compared with the traditional PID control method, the proposed control method greatly improves dynamic and static performance of SRD, and that it does not require accurate mathematical model and has high control accuracy, small overshoots and high robustness to disturbances.关键词
开关磁阻电机调速系统/小脑模型神经网络/模糊控制/比例-积分-微分控制/模糊推理Key words
switched reluctance drive (SRD)/ cerebella model articulation controller/fuzzy control/ proportion integration differentiation control； fuzzy reasoning分类
信息技术与安全科学引用本文复制引用
曾喆昭,肖强英,朱静涛..开关磁阻电机模糊神经网络PID转速控制[J].电力系统及其自动化学报,2011,23(3):30-34,5.基金项目
湖南省科技计划项目(2009GK3186) （2009GK3186）
湖南省教育厅重点项目(08A006) （08A006）
