感应电机无速度传感器模糊控制仿真研究

基于Takagi-Sugeno（T-S）模糊模型,提出了一种感应电机的模糊转速磁链观测器,并实现了一种新的感应电机无速度传感器模糊控制方法。该方法利用Lyapunov稳定性理论分析了观测器的稳定性,通过求解受线性矩阵不等式（LMI）约束的广义特征值问题来得到观测器的反馈矩阵。在Matlab软件平台上,利用SimPowerSystems Blocks（PSB）电气模块和Simulink通常模块搭建了基于模糊观测器的无速度传感器控制系统,仿真实验验证了该系统的正确性。仿真结果表明该方法在全速度范围各种工况下都能稳定工作,准确观测定子磁链和转速。

Abstract：

Based on Takagi-Sugeno （T-S） fuzzy model,a fuzzy speed and flux observer of induction motor （IM） was proposed and a novel speed sensorless fuzzy control for IM drives was developed based on fuzzy observer design. This method utilized Lyapunov stability theory to analyze the stability for the observer. The observer gains were obtained by solving a generalized eigenvalue problem （GEVP） under linear matrix inequality （LMI） constraints. The speed sensorless control system of IM drives on the basis of the fuzzy observer was built with PSB blocks and Simulink blocks in Matlab platform and verified by simulation results. The simulation results indicate that the proposed method could operate stably in whole range of speed with preferable observation precision of stator flux and rotor speed.

Simulation Study on Speed Sensorless Fuzzy Control for Induction Motor

Based on Takagi-Sugeno （T-S） fuzzy model,a fuzzy speed and flux observer of induction motor （IM） was proposed and a novel speed sensorless fuzzy control for IM drives was developed based on fuzzy observer design. This method utilized Lyapunov stability theory to analyze the stability for the observer. The observer gains were obtained by solving a generalized eigenvalue problem （GEVP） under linear matrix inequality （LMI） constraints. The speed sensorless control system of IM drives on the basis of the fuzzy observer was built with PSB blocks and Simulink blocks in Matlab platform and verified by simulation results. The simulation results indicate that the proposed method could operate stably in whole range of speed with preferable observation precision of stator flux and rotor speed.