International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Design and Hardware Implementation of Model Reference Adaptive System (MRAS) for Speed Control of Three-Phase Induction Motor
This paper presents a new predictive model reference adaptive system (MRAS) speed estimator for speed control
of sensor-less induction motor (IM) drives. The specified estimator depends on the finite control set model predictive control
(FCS-MPC) principle . A search-based optimization algorithm is used to calculate the rotor position which guarantees a
minimum speed tuning error signal at each sampling period. This removes the need for a proportional–integral (PI) controller
which is normally employed in the adaptation mechanism of MRAS estimators. Large number of experimental tests have
been carried out to study the performance of the proposed estimator using a 1 HP IM with a field-oriented control (FOC)
scheme employed as the motor control strategy. Experimental results show improved performance of the MRAS scheme at
low speeds and with different loading conditions. The proposed scheme also helps to improve the system rigidness against
motor parameter variations and the maximum bandwidth of the speed loop controller increases.
Keywords - Induction Motor (IM) Drive, Vector Control, Speed Estimation, Model Reference Adaptive System (MRAS),
Classical Rotor-flux MRAS, Proposed Predictive MRAS Control.
Author - Deepak Choudhari
Citation - Deepak Choudhari ,
Deepak Choudhari " Design and Hardware Implementation of Model Reference Adaptive System (MRAS) for Speed Control of Three-Phase Induction Motor " ,
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , Volume-7,Issue-5 ( May, 2019 )