Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement.

Yahya Farah, Nabil Salem and Talib, Md Hairul Nizam and Mat Lazi, Jurifa and Ibrahim, Zulkifilie and Abdullah, Qazwan and Aydoğdu, Ömer and Isa, Zm (2021) Fuzzy Membership Functions Tuning For Speed Controller Of Induction Motor Drive: Performance Improvement. Indonesian Journal Of Electrical Engineering And Computer Science, 23 (3). 1258 - 1270. ISSN 2502-4752

[img] Text
25666-49489-1-PB.PDF

Download (1MB)

Abstract

Fuzzy logic controller (FLC) has gained high interest in the field of speed control of machine drives in both academic and industrial communities. This is due to the features of FLC of handling non-linearity and variations. FLC system consists of three main elements: scaling factors (SFs), membership functions (MFs), and rule-base. Fuzzy MFs can be designed with different types and sizes. For induction motor (IM) speed control, (3x3), (5x5) and (7x7) MFs are the most used MFs sizes, and normally designed based on symmetrical distribution. However, changing the width and peak position of MFs design enhance the performance. In this paper, tuning of MFs of FLC speed control of IM drives is considered. Considering (3x3), (5x5) and (7x7) MFs sizes, the widths and peak positions of these MFs are asymmetrically distributed to improve the performance of IM drive. Based on these MFs sizes, the widths and peak positions are moved toward the origin (zero), negative and positive side that produces a controller less sensitive to the small error variations. Based on simulation and performance evaluations, improvement of 5% in settling time (Ts), 0.5% in rise time and 20% of steady-state improvement achieved with the tuned MFs compared to original MFs.

Item Type: Article
Uncontrolled Keywords: FLC, Fuzzy Logic, IM, Membership Functions, MFs Tuning, Performance Improvement
Divisions: Faculty of Electrical Engineering
Depositing User: Norfaradilla Idayu Ab. Ghafar
Date Deposited: 05 May 2022 12:53
Last Modified: 05 May 2022 12:53
URI: http://eprints.utem.edu.my/id/eprint/25826
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item