摘要
将模糊控制器植入模型参考自适应控制系统构架中,主模糊控制器用于取代传统模型参考自适应控制中的反馈控制器,模糊逆模型结合自适应调整算法取代复杂的常规自适应规则,形成了模型参考模糊自适应控制方法。将此方法应用于无刷直流电机(BLDCM)调速系统,设计模型参考模糊自适应速度控制器,仿真及基于dSPACE的实验结果表明:控制系统运行平稳,速度跟踪快速准确,具有良好的动、静态特性。
A model reference fuzzy adaptive control approach is presented. Two fuzzy logic inference systems are used here. One is employed as main controller for substituting the feedback controller in the model reference adaptive control （MRAC）, and the other is used to form the fuzzy adaptive mechanism with special adaptation algorithm. As an example, a speed controller for brushless DC motor （BLDCM） has been developed based on the proposed method. The simulation results are illustrated to show very good static and dynamic performance. Based on dSPACE system, a physical experiment on BLDCM has also been accomplished and the results are satisfying.
出处
《电工技术学报》
EI
CSCD
北大核心
2006年第1期75-81,共7页
Transactions of China Electrotechnical Society
基金
江苏省高技术研究计划资助项目(BG2005014)
