A Review on - MRAS based Sensorless Control of Interior Permanent Magnet Synchronous motor drives using Fuzzy Logic

Authors(1) :-Megha. P

Model reference adaptive system (MRAS) is typically employed for rotor position/ speed estimation in sensorless interior permanent magnet motor (IPMSM) drives. There are different ways to improve the performance of IPMSM drives. In previous research PI controller is used to control the speed of Permanent magnet synchronous motor. But in some cases when dynamics of the system varies with operating conditions and time the PI controller will not give better performance. To overcome this problem a new MRAS scheme based on fuzzy logic is proposed. In order to avoid the difficulties involved with manual tuning of the PI control parameters, fuzzy controller is implemented. Fuzzy control scheme consists of two models, namely current model of the IPMSM as the adjustable model, and the motor itself as the reference model. The difference between the outputs of the two models gives the estimated value of the rotor speed through a adaptive mechanism and position can be obtained by integrating the speed. In order to lower the motor speed ripple caused by the cyclic fluctuating load, a feed- forward compensation strategy with the load-matching motor output torque pattern is developed. The proposed system has to be implemented in MATLAB simulink.

Authors and Affiliations

Megha. P
Department of EIE, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India

Fuzzy Logic, interior permanent magnet synchronous motor drives (IPMSM), sensorless control, Model reference adaptive system (MRAS).

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Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 628-630
Manuscript Number : CSEIT1846117
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Megha. P, "A Review on - MRAS based Sensorless Control of Interior Permanent Magnet Synchronous motor drives using Fuzzy Logic", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.628-630, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1846117

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