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System Identification for a Mathematical Model of DC Motor System

This project compares the performance of a DC motor PI-PD controller with and without a pole-zero system identification method. Cohen-Coon tuning is used to fine-tune the proposed controller’s parameters. In addition, a small number of tests were performed with varying pole and zero values. The DC m...

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Main Authors: Nur Naajihah, Ab Rahman, Nafrizuan, Mat Yahya
Format: Conference or Workshop Item
Language:English
Published: IEEE 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/35097/1/System%20Identification%20for%20a%20Mathematical%20Model%20of%20DC%20Motor%20System.pdf
http://umpir.ump.edu.my/id/eprint/35097/
https://doi.org/10.1109/I2CACIS54679.2022.9815461
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spelling my.ump.umpir.350972022-09-06T02:01:37Z http://umpir.ump.edu.my/id/eprint/35097/ System Identification for a Mathematical Model of DC Motor System Nur Naajihah, Ab Rahman Nafrizuan, Mat Yahya TK Electrical engineering. Electronics Nuclear engineering This project compares the performance of a DC motor PI-PD controller with and without a pole-zero system identification method. Cohen-Coon tuning is used to fine-tune the proposed controller’s parameters. In addition, a small number of tests were performed with varying pole and zero values. The DC motor’s performance with a PI-PD controller was evaluated throughout these tests for transient response characteristics. At the end of the study, it can be concluded that system identification is required in order to enhance the performance of the DC motor. By that, the DC motor with the PI-PD controller performed better than other variants, with 0.067s rising time, 1.748s settling time, 1.170s peak time, and 42.143 percent overshoot with no steady-state error, despite having only two poles and no zeros in the proposed controller. IEEE 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/35097/1/System%20Identification%20for%20a%20Mathematical%20Model%20of%20DC%20Motor%20System.pdf Nur Naajihah, Ab Rahman and Nafrizuan, Mat Yahya (2022) System Identification for a Mathematical Model of DC Motor System. In: IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2022), 25-25 June 2022 , Shah Alam, Selangor, Malaysia. pp. 30-35.. ISBN 978-1-6654-9581-3 https://doi.org/10.1109/I2CACIS54679.2022.9815461
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nur Naajihah, Ab Rahman
Nafrizuan, Mat Yahya
System Identification for a Mathematical Model of DC Motor System
description This project compares the performance of a DC motor PI-PD controller with and without a pole-zero system identification method. Cohen-Coon tuning is used to fine-tune the proposed controller’s parameters. In addition, a small number of tests were performed with varying pole and zero values. The DC motor’s performance with a PI-PD controller was evaluated throughout these tests for transient response characteristics. At the end of the study, it can be concluded that system identification is required in order to enhance the performance of the DC motor. By that, the DC motor with the PI-PD controller performed better than other variants, with 0.067s rising time, 1.748s settling time, 1.170s peak time, and 42.143 percent overshoot with no steady-state error, despite having only two poles and no zeros in the proposed controller.
format Conference or Workshop Item
author Nur Naajihah, Ab Rahman
Nafrizuan, Mat Yahya
author_facet Nur Naajihah, Ab Rahman
Nafrizuan, Mat Yahya
author_sort Nur Naajihah, Ab Rahman
title System Identification for a Mathematical Model of DC Motor System
title_short System Identification for a Mathematical Model of DC Motor System
title_full System Identification for a Mathematical Model of DC Motor System
title_fullStr System Identification for a Mathematical Model of DC Motor System
title_full_unstemmed System Identification for a Mathematical Model of DC Motor System
title_sort system identification for a mathematical model of dc motor system
publisher IEEE
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/35097/1/System%20Identification%20for%20a%20Mathematical%20Model%20of%20DC%20Motor%20System.pdf
http://umpir.ump.edu.my/id/eprint/35097/
https://doi.org/10.1109/I2CACIS54679.2022.9815461
_version_ 1744353877581365248
score 13.211869

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