文章提出了一種基于軟計算的感應(yīng)電機(jī)無速度傳感器控制方案,用以提高無速度傳感器控制的低速性能。采用T2S 模糊估計器,通過定子電流和定子頻率估計定子電阻,以Elman 網(wǎng)絡(luò)為電流轉(zhuǎn)速模型,采用模型參考自適應(yīng)的方法估計轉(zhuǎn)速和暫態(tài)時的轉(zhuǎn)子電阻。令穩(wěn)態(tài)運(yùn)行時的轉(zhuǎn)子電阻以估計的定子電阻同比率變化。文末仿真了采用文章提出的控制方案應(yīng)用于轉(zhuǎn)子磁場定向的無速度傳感器控制的低速較長時間運(yùn)行的情況。說明了這種控制方案可以在一定程度上提高系統(tǒng)的低速性能。
關(guān)鍵詞:感應(yīng)電機(jī)　無速度傳感器控制　軟計算

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