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Abstract
This paper presents the Matlab Simulation of fuzzy logic based Sensorless indirect vector control of induction motor with a rotor resistance adaptation. Here the fuzzy controller used for speed controller offers superior transient performance when compared with the conventional control algorithms using PI controller. Rotor resistance of the motor will change significantly with temperature and frequency. This variation has a major influence on the field oriented control performance of an induction motor due to the deviation of slip frequency from the set value. This paper uses neural learning algorithm based rotor resistance adaptation scheme for making the system robust against rotor resistance variation.
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