A REIVEW PAPER ON MRAS SPEED ESTIMATION METHODS FOR SENSOR LESS VECTOR CONTROL OF INDUCTION MOTOR

Authors

  • Rifaquat M Pathan M.E. [Power Electronics & Electrical Drives] Student, Department Of Electrical Engineering, Atmiya Institute of Technology & Science, Rajkot, Gujarat, India
  • Murtuza Y Saifee Assistant Professor, Department Of Electrical Engineering, Atmiya Institute of Technology & Science, Rajkot, Gujarat, India

Keywords:

Induction motor, speed sensor, sensor less, MRAS

Abstract

Model Reference Adaptive System (MRAS) based speed estimation techniques are one of the best methods
to estimate the rotor speed due to its performance and straightforward stability approach. In this technique two model
one is a Reference model and other is an adjustable model are used for estimation of speed. The scheme uses the error
vector from the comparison of both models as a 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. This paper aims at
providing a review of the major model reference adaptive system (MRAS) based techniques applied for the estimation
of speed.

Published

2016-12-31

How to Cite

Rifaquat M Pathan, & Murtuza Y Saifee. (2016). A REIVEW PAPER ON MRAS SPEED ESTIMATION METHODS FOR SENSOR LESS VECTOR CONTROL OF INDUCTION MOTOR. International Journal of Advance Research in Engineering, Science & Technology, 3(13), -. Retrieved from https://ijarest.com/index.php/ijarest/article/view/2055