Open AccessReview on model reference adaptive system for sensorless vector control of induction motor drives
Author(s) -
Kumar Rakesh,
Das Sukanta,
Syam Prasid,
Chattopadhyay Ajit Kumar
Publication year - 2015
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2014.0220
Subject(s) - induction motor , control theory (sociology) , vector control , control engineering , computer science , control system , engineering , control (management) , artificial intelligence , voltage , electrical engineering
The most frequently used electrical machine in various modern high‐performance drive applications is the induction motor (IM), especially its squirrel cage type rotor counterpart. The high‐precision, efficient control of sensorless IM drives throughout its operating range demands an exact knowledge of a few of the IM parameters. The stator resistance, rotor resistances are such important IM parameters whose variations may lead to improper estimation of speed over the whole operating range in sensorless drives. Numerous methods for the estimation of speed of high‐performance sensorless IM drives taking into account the effect of parameter variations have been developed. This paper aims at providing a review of the major model reference adaptive system (MRAS) based techniques applied for the estimation of speed of such sensorless drives. This paper is illustrated throughout with relevant mathematical equations, experimental and simulation results, associated to different MRAS‐based sensorless vector control of the IM drive.