IJERT-EMS
IJERT-EMS

Matlab Simulation Model Design of Fuzzy Controller based V/F Speed Control of Three Phase Induction Motor


Matlab Simulation Model Design of Fuzzy Controller based V/F Speed Control of Three Phase Induction Motor
Authors : Sharda Dinkar Chande, Pranoti Khanke
Publication Date: 31-12-2016

Authors

Author(s):  Sharda Dinkar Chande, Pranoti Khanke

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 01 , January - 2017

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV6IS010012

Abstract

During the past many years, fuzzy control has emerged in concert of the foremost active and fruitful areas for analysis within the applications of fuzzy theory, particularly within the realm of industrial processes, that don't lend themselves to regulate by standard ways owing to a scarcity of quantitative knowledge concerning the input-output relations. Fuzzy management is predicated on fuzzy logic-a system of logic that's abundant nearer in spirit to human thinking and linguistic communication than ancient logical systems. The fuzzy logic controller (FLC) based on fuzzy logic provides a way of changing a linguistic management strategy supported knowledgeable information into associate degree automatic control strategy. This methodology transfer a replacement method for speed system for induction motor that relies on fuzzy logic rather than obsolete indirect vector control PI controller as a speed regulator in outer speed loop. In obsolete methodology for speed system of a induction motor drive uses a voltage supply pulse width modulation inverter-fed vector management indirectly that has low preciseness for the speed control giving dangerous speed regulation characteristics and decreasing the performance of the total induction motor drive. To prevail over this PI controller by a involuntary sensing fuzzy system that relies on fuzzy set theory. The execution of this automatic sensing fuzzy system may be inquired through digital simulation that relies on MATLAB-SIMULINK package. By victimization this digital simulation system the performance of fuzzy system may be seen by making variable in operation conditions by varied reference speeds and at totally different load torques. The simulation study gives the comparative study of fuzzy controller, PI controller and PID controller. Consequences of this digital simulation system show improved performance characteristics of the steered fuzzy system over the obsolete PI controller as a speed regulator in outer speed loop.

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