UGC Approved Journal no 63975(19)

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

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2303657


Registration ID:
510791

Page Number

g383-g391

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Title

Speed control of BLDC motor drive using PI, Fuzzy Logic and Neural Network controllers for an Electric Vehicle

Authors

Abstract

In this project we implement the speed control of Brushless direct current (BLDC) motor for Electric Vehicle load by using different control techniques like PI controller and Soft computing techniques like Fuzzy Logic controller and Adaptive Neural Network controller in MATLAB simulink. BLDC motor is one of the popular motors in the industry and automotive. In automotive, this motor is often used in an electric vehicle (EV) due to its high efficiency. A model of electric vehicle mainly consists of BLDC (brushless DC motor), and an inverter. Due the efficient characteristics of BLDC (such as wide speed range, high efficiency and good power densities), these motors are highly preferred for electric vehicles. BLDC information expects six discrete rotor positions for operation of inverter. These sensors provide the information of position. A supply of voltage 220v is connected to the 3- phase inverter is implemented using power IGBTs for feeding BLDC motor and the Hall sensor signals from the motor is designed to obtain desired speed. The BLDC Motor is mechanically coupled to the Rear axle of the Vehicle motor so the torque is transferred from motor side to the load side. Soft computing techniques like Fuzzy Logic and Neural Network controller is also used to determine the performance characteristics of the motor due to different controllers. Torque and the Velocity of an in-wheel BLDC motor on performance of the two-wheel drive electric vehicle is studied through simulation. The controller efficiency and sensitivity has been checked by MATLAB-Simulink software.

Key Words

BLDC motor, Electric Vehicle, PID Controller, Fuzzy Logic, Neural Network

Cite This Article

"Speed control of BLDC motor drive using PI, Fuzzy Logic and Neural Network controllers for an Electric Vehicle", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.g383-g391, March-2023, Available :http://www.jetir.org/papers/JETIR2303657.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

"Speed control of BLDC motor drive using PI, Fuzzy Logic and Neural Network controllers for an Electric Vehicle", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppg383-g391, March-2023, Available at : http://www.jetir.org/papers/JETIR2303657.pdf

Publication Details

Published Paper ID: JETIR2303657
Registration ID: 510791
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: g383-g391
Country: Guntur, Andra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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