A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor

This paper presents a novel data-driven sigmoid-based PI for tracking of angular velocity of dc motor powered by a dc/dc buck converter. A global simultaneous perturbation stochastic approximation (GSPSA) is employed to ﬁnd the optimum sigmoid-based PI parameters such that the angular velocity error...

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Main Authors:	Mohd Ashraf, Ahmad, Raja Mohd Taufika, Raja Ismail
Other Authors:	Ahmad, Mohd Ashraf
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/17632/ http://umpir.ump.edu.my/id/eprint/17632/1/iscaie2017.pdf

id	ump-17632
recordtype	eprints
spelling	ump-176322018-02-02T07:44:13Z http://umpir.ump.edu.my/id/eprint/17632/ A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail TK Electrical engineering. Electronics Nuclear engineering This paper presents a novel data-driven sigmoid-based PI for tracking of angular velocity of dc motor powered by a dc/dc buck converter. A global simultaneous perturbation stochastic approximation (GSPSA) is employed to ﬁnd the optimum sigmoid-based PI parameters such that the angular velocity error is minimized. The merit of the proposed approach is that it can produce fast PI parameter tuning without using any plant model by measuring the I/O data of the system. Moreover, the proposed PI parameters that are varied based on sigmoid function of angular velocity error has great potential in improving the control performance compared to the conventional PI controller. A well-known buck converter powered DC motor model is considered to validate our data-driven design. In addition, the performances of the proposed method are examined in terms of angular velocity trajectory tracking and duty cycle in comparison with other existing approaches. Numerical example shows that the data-driven sigmoid-based PI approach provides better control performances as compared to existing methods. IEEE Ahmad, Mohd Ashraf 2017-04-24 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17632/1/iscaie2017.pdf Mohd Ashraf, Ahmad and Raja Mohd Taufika, Raja Ismail (2017) A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor. In: IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE 2017), 24-25 April 2017 , Langkawi, Malaysia. pp. 1-6..
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor
description	This paper presents a novel data-driven sigmoid-based PI for tracking of angular velocity of dc motor powered by a dc/dc buck converter. A global simultaneous perturbation stochastic approximation (GSPSA) is employed to ﬁnd the optimum sigmoid-based PI parameters such that the angular velocity error is minimized. The merit of the proposed approach is that it can produce fast PI parameter tuning without using any plant model by measuring the I/O data of the system. Moreover, the proposed PI parameters that are varied based on sigmoid function of angular velocity error has great potential in improving the control performance compared to the conventional PI controller. A well-known buck converter powered DC motor model is considered to validate our data-driven design. In addition, the performances of the proposed method are examined in terms of angular velocity trajectory tracking and duty cycle in comparison with other existing approaches. Numerical example shows that the data-driven sigmoid-based PI approach provides better control performances as compared to existing methods.
author2	Ahmad, Mohd Ashraf
author_facet	Ahmad, Mohd Ashraf Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail
format	Conference or Workshop Item
author	Mohd Ashraf, Ahmad Raja Mohd Taufika, Raja Ismail
author_sort	Mohd Ashraf, Ahmad
title	A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor
title_short	A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor
title_full	A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor
title_fullStr	A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor
title_full_unstemmed	A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor
title_sort	data-driven sigmoid-based pi controller for buck-converter powered dc motor
publisher	IEEE
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/17632/ http://umpir.ump.edu.my/id/eprint/17632/1/iscaie2017.pdf
first_indexed	2023-09-18T22:24:28Z
last_indexed	2023-09-18T22:24:28Z
_version_	1777415874037153792

A Data-Driven Sigmoid-based PI Controller for Buck-Converter Powered DC Motor

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