摘要
采用模糊基函数形式,将永磁同步电机时变参数的辨识转化为对模糊基函数权系数的辨识问题,经过离线学习和在线自适应调节的模糊估计器具有对永磁同步电机时变参数的逼近能力。利用参数跟踪误差和控制预测误差信息,设计模型参考模糊自适应速度控制器,基于Lyapunov稳定性理论分析了控制器的收敛性,仿真及dSPACE实验结果表明:所设计的永磁同步电机控制系统具有较好的参数跟踪及控制性能。
A novel model reference adaptive control （MRAC） system was introduced based on the fuzzy control technology. The fuzzy basis function expansion was used to represent the unknown parameters, which changed the identification problem from identifying the original unknown parameters to identifying the coefficients of fuzzy basis function expansion. As an example, a speed controller for Permanent Magnet Synchronous Motor was developed based on the parameter tracking error and control prediction error. By using the Lyapunov stability theory, the stability and convergence properties of the controller were ensured. The results of the simulation based on Matlab and dSPACE experiment show the fuzzy adaptive speed controller has high control and parameter track performance.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第7期1817-1820,共4页
Journal of System Simulation
基金
江苏省自然科学基金项目(BK2007540)
