基于软计算的感应电机无速度传感器控制

文章提出了一种基于软计算的感应电机无速度传感器控制方案,用以提高无速度传感器控制的低速性能。采用T2S 模糊估计器,通过定子电流和定子频率估计定子电阻,以Elman 网络为电流转速模型,采用模型参考自适应的方法估计转速和暂态时的转子电阻。令稳态运行时的转子电阻以估计的定子电阻同比率变化。文末仿真了采用文章提出的控制方案应用于转子磁场定向的无速度传感器控制的低速较长时间运行的情况。说明了这种控制方案可以在一定程度上提高系统的低速性能。
关键词:感应电机　无速度传感器控制　软计算

Abstract :A new scheme of sensorless control of an induction motor is proposed in which soft2computing methodologies are used in the paper. The T2S fuzzy method of online stator resistance estimation of an induction motor is described ,where the re2 sistance value is derived from stator2windings temperature estimation as a function of stator current and frequency. The speed and online rotor resistance of transient state are estimated by the basic MRAC ,and elman neural network is used to formthe current2 speed model . The online rotor resistance of steady state is set to change with the same rate of stator resistance value change. The scheme has been designed and iterated by simulation study and the performance in low speed is improved.
Keywords :induction motor 　speed sensorless control 　soft2computing