Fuzzy Logic

P. Daniel Samson; V. Anish; M. Bhuvaneswari

Title:
Fuzzy Logic

Authors:
M. Bhuvaneswari | P. Daniel Samson | V. Anish

Cite This Article :

M. Bhuvaneswari | P. Daniel Samson | V. Anish "Fuzzy Logic" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2, February 2020, pp.884-887, URL: https://www.ijtsrd.com/papers/ijtsrd30186.pdf

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Abstract :
This paper proposes a detailed switching model for the medium voltage cascaded H-bridge multi-level inverter drive and induction motor system using fuzzy logic controller which is suitable for power system dynamic studies. The model includes the We describe in this book recent advances in the fuzzy logic based augmentation of neural networks and in optimization algorithms and their application in areas fuzzy logic can help design robust individual behaviours units. Fuzzy logic controllers incorporate heuristic control knowledge. It is convenient choice when a precise linear model of the system to be controlled cannot be easily found. Another advantage of fuzzy logic control is to use fuzzy logic for representing uncertainties, such as vagueness or imprecision which cannot be solved by probability theory. Also fuzzy logic offers greater flexibility to user, among which we can choose the one that best, fits the type of combination to be performed.

Keywords :
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Publication Details:

Unique Identification Number : IJTSRD30186

Published In : Volume-4 | Issue-2, February 2020

Page Number(s) : 884-887

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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