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65212

Design of a Fuzzy-Based PID Controller for a DC Servomotor Position Control

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Last updated: 25 Dec 2024

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Abstract

In this paper, a fuzzy controller is designed for a DC servomotor position control using Adaptive Neuro-Fuzzy Inference System (ANFIS). The proposed design procedure is divided into 2 steps. In the first, for a wide range of parameter change, a Proportional-Integral-Derivative (PID) controller is designed to control the DC servomotor for regulation and tracking problems. In the second, the error, between the desired and actual motor position, its derivative and its integral, and the PID output are used as training data to train iteratively a fuzzy inference system using ANFIS. The effectiveness is demonstrated through diverse tests, namely, parameter variation, regulation, and tracking of the desired shaft position.

DOI

10.21608/mjeer.2008.65212

Keywords

DC Servomotor, Adaptive Neuro-Fuzzy Logic, Proportional – Integral - Derivative Controller

Authors

First Name

Mosleh

Last Name

Al-Harthi

MiddleName

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Affiliation

Electrical Technology Department, Jeddah College of Technology P.O. Box 17608, Jeddah 21494, Saudi Arabia

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Volume

17

Article Issue

2

Related Issue

9690

Issue Date

2008-07-01

Receive Date

2019-12-15

Publish Date

2008-07-01

Page Start

125

Page End

138

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_65212.html

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https://mjeer.journals.ekb.eg/service?article_code=65212

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4

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Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Design of a Fuzzy-Based PID Controller for a DC Servomotor Position Control

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Article

Created At

22 Jan 2023