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Reseach Article

Model Reference Adaptive System based Speed Sensorless Control of Induction Motor using Fuzzy-PI Controller

by U.saranya, S.allirani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 5
Year of Publication: 2015
Authors: U.saranya, S.allirani
10.5120/19313-0772

U.saranya, S.allirani . Model Reference Adaptive System based Speed Sensorless Control of Induction Motor using Fuzzy-PI Controller. International Journal of Computer Applications. 110, 5 ( January 2015), 23-28. DOI=10.5120/19313-0772

@article{ 10.5120/19313-0772,
author = { U.saranya, S.allirani },
title = { Model Reference Adaptive System based Speed Sensorless Control of Induction Motor using Fuzzy-PI Controller },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 5 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number5/19313-0772/ },
doi = { 10.5120/19313-0772 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:45:33.632558+05:30
%A U.saranya
%A S.allirani
%T Model Reference Adaptive System based Speed Sensorless Control of Induction Motor using Fuzzy-PI Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 5
%P 23-28
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a Model Reference Adaptive System (MRAS) is presented as the speed estimation technique in which the error speed is estimated by comparing reference model and adaptive model and further the error speed is used to obtain the rotor speed. Proportional Integral (PI) is designed for controlling purpose. A non-linear fuzzy-PI controller is used to optimize the speed error value. The Proposed MRAS based speed sensorless control of Induction Motor (IM) drive will ensure the better dynamic performance and reliability, compared to conventional methods. The proposed scheme is simulated using MATLAB/Simulink software.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Sensorless speed control Model Reference Adaptive System (MRAS) Induction Motor stationary reference frame speed estimation.