UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2206838


Registration ID:
404875

Page Number

i304-i311

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Title

Closed Loop Control of BLDC Motor Using Fuzzy Logic Controller

Abstract

The growth of human civilization in the twenty-first century is hampered by two key challenges: energy and the environment. In recent years, energy costs have continued to rise, volatility has become more severe, public opinion on environmental protection has risen, applicable rules and regulations are more stringent, and "energy conservation" and "emission reduction" has become an urgent practical concern. As a result, utilizing new technology to reduce energy consumption and emission has become an important direction of automobile technology development, with pure EVs achieving zero emissions and low energy consumption, there is no doubt that they have become one of the most appealing solutions for energy savings and emission reduction. Hence EVs have been identified as the automobile industry's key trend in recent years. Small size, easier speed control, noiseless operation, high specific power and reduced thermal losses of Brush Less DC(BLDC) motor compared to the induction motor makes it more feasible in automotive industries. Most industrial applications employ conventional controllers to regulate the speed of BLDC motors, although it produces poor results in non-linear situations. To cater for nonlinear situations, that arise in real time, modern control techniques including Artificial Intelligence (AI) and Fuzzy Logic (FL) are gaining importance and lot of research is being conducted. A rule- based FL controller seems to be a better approach for the control of BLDC motors for EV applications as it increases the performance of drive system by using linguistic variables. In this paper, the FLC, PI and PID controllers for BLDC motors are simulated using MATLAB/Simulink and the results obtained from them are being presented in a tabular format.

Key Words

Electric Vehicles, Fuzzy Logic Controller, Closed Loop Control, Classical controller, Rule base, Fuzzification, Defuzzification

Cite This Article

"Closed Loop Control of BLDC Motor Using Fuzzy Logic Controller ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.i304-i311, June-2022, Available :http://www.jetir.org/papers/JETIR2206838.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Closed Loop Control of BLDC Motor Using Fuzzy Logic Controller ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppi304-i311, June-2022, Available at : http://www.jetir.org/papers/JETIR2206838.pdf

Publication Details

Published Paper ID: JETIR2206838
Registration ID: 404875
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: i304-i311
Country: Bengaluru, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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