Universiti Teknologi Malaysia Institutional Repository

Simulation of MRAS-based speed sensorless estimation of induction motor drives using MATLAB/SIMULINK

Haron, A.R. and Nik Idris, Nik Rumzi (2006) Simulation of MRAS-based speed sensorless estimation of induction motor drives using MATLAB/SIMULINK. In: Power and Energy Conference, 2006. PECon '06. IEEE International , 28-29 Nov 2006 , Putrajaya, Malaysia.

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Official URL: http://dx.doi.org/10.1109/PECON.2006.346686

Abstract

Model Reference Adaptive System (MRAS) based techniques are one of the best methods to estimate the rotor speed due to its performance and straightforward stability approach. These techniques use two different models (the reference model and the adjustable model) which have made the speed estimation a reliable scheme especially when the motor parameters are poorly known or having large variations. The scheme uses the error vector from the comparison of both models as the feedback for speed estimation. Depending on the type of tuning signal driving the adaptation mechanism, there could be a number of schemes available such as rotor flux based MRAS, back e.m.f based MRAS, reactive power based MRAS and artificial neural network based MRAS. All these schemes have their own trends and tradeoffs. In this paper, the performance of the rotor flux based MRAS (RF-MRAS) and back e.m.f based MRAS (BEMF-MRAS) for estimating the rotor speed was studied. Both schemes use the stator equation and rotor equation as the reference model and the adjustable model respectively. The output error from both models is tuned using a PI controller yielding the estimated rotor speed. The dynamic response of the RF-MRAS and BEMF-MRAS sensorless speed estimation is examined in order to evaluate the performance of each scheme.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:MATLAB, PI controller, SIMULINK, artificial neural network based MRAS, back emf, back emf based MRAS, dynamic response, error vector, induction motor drives, model reference adaptive system, motor parameters, reactive power based MRAS, rotor equation, rotor flux, rotor flux based MRAS, rotor speed estimation, speed sensorless estimation, stability approach, stator equation
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:7425
Deposited By: Norhafizah Hussin
Deposited On:02 Jan 2009 08:51
Last Modified:02 Jan 2009 08:51

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