感应电机的Takagi-Sugeno型模糊状态观测器

Takagi-Sugeno Fuzzy State Observer for Induction Motor

针对感应电机在低速发电状态时传统自适应磁链观测器性能不稳定的问题,提出了基于Takagi-Sugeno模糊模型的状态观测方法.该方法利用电机的5阶非线性时变模型进行磁链观测和速度估计.根据Lyapunov稳定理论和线性矩阵不等式技术设计了模糊观测器.仿真结果表明,将该方法用于感应电机无速度传感器控制,速度估计误差小于1.78%,感应电机在全速度范围内各种工况下都能稳定工作.

To solve the instability problem of traditional adaptive flux observer for IM（induction motor） working at low speed generating mode,a new state observer was proposed based on T-S（Takagi-Sugeno） fuzzy model.In the observer,the fifth-order nonlinear time-varying model for IM is used to observe magnetic flux and estimate speed.The fuzzy observer was designed by combining Lyapunov stability theory and linear matrix inequality technology,and was applied to estimate speed of sensorless IM drives.The simulation results indicate that the speed observation error is less than 1.78%,and the IM drive is stable in a variety of operating conditions over the whole working speed range.