Analysis of intelligence techniques on sensor less speed control of Doubly fed — Induction machine (DFIM)

This paper present the analysis of sensor less speed control of Doubly fed induction machines using various intelligence techniques like Fuzzy logic, Artificial Neural Network (ANN), Fuzzy logic etc. and the whole analysis reveals the better dynamic performance of Sensor less speed estimation over tradition method of speed and current measurement which reduces the error in the measurement of parameters, better noise immune, more efficient and reliable system.