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This paper presents the speed estimation of vector controlled speed sensorless induction motor (i.m.) using model reference adaptive system (mras) and sliding mode observer. These schemes are applied to induction motor for sensor less speed control. Induction motor (im) speed sensorless control, allowing operation at low and zero speed, optimizing torque response and efficiency, will be presented in this paper.
In this paper, we propose a novel approach to sensorless speed control of induction motors using the model reference adaptive system (mras) method, leveraging the deadbeat regulator in the adaptation mechanism. In this paper an adaptive mechanism with fuzzy logic controller and performance of mras with pid controller implemented in matlab/simulink environment To achieve these operational stability qualities, speed sensorless vector control techniques are used for induction motor
Several algorithms have been applied to solve stability problem associated with speed sensorless vector control induction machine at low speed.
Im speed for mpc control was determined using two different speed estimation methods mras f and mras cc.
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