Singularly perturbation method for multivariable proportional-integral-derivative controller tuning

Efficient control of industrial processes is of great importance. The industrial control performance has to meet the desired optimum operation. However, the tuning process becomes a challenging matter especially for Multiple-Input Multiple- Output (MIMO) system with two-time scale characteristic. Th...

Full description

Saved in:

Bibliographic Details
Main Author:	Che Razali, Mashitah
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/48002/25/MashitahCheRazaliMFKE2014.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.48002
record_format	uketd_dc
spelling	my-utm-ep.480022017-07-18T06:43:20Z Singularly perturbation method for multivariable proportional-integral-derivative controller tuning 2014-10 Che Razali, Mashitah TK Electrical engineering. Electronics Nuclear engineering Efficient control of industrial processes is of great importance. The industrial control performance has to meet the desired optimum operation. However, the tuning process becomes a challenging matter especially for Multiple-Input Multiple- Output (MIMO) system with two-time scale characteristic. This motivates the use of singularly perturbation method in the design of Multivariable Proportional-Integral- Derivative (MPID) controller tuning. The singularly perturbation methods based on Naidu and Jian Niu were considered and tested. It is observed that singularly perturbation system by method of Naidu gives a good approximation at low, middle and high frequencies. Two MIMO systems with two-time scale characteristic that are wastewater treatment plant, and Newell and Lee evaporator were used as test beds. Traditionally, the MPID controller tuning namely Davison, Penttinen-Koivo, Maciejowski and Combined are based on full order static matrix inverse model. In this work, the singularly perturbed MPID controller tuning methods are proposed based on the dynamic matric inverse to improve the tuning of MIMO system. Furthermore, Particle Swarm Optimization has been applied in the tuning of the parameters for an optimum control performance. Comparing the closed loop performance and process interaction of traditional MPID and the proposed singularly perturbed MPID controller methods, the latter methods are able to improve transient responses, provide low steady state error, and reduce the process interaction. 2014-10 Thesis http://eprints.utm.my/id/eprint/48002/ http://eprints.utm.my/id/eprint/48002/25/MashitahCheRazaliMFKE2014.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Che Razali, Mashitah Singularly perturbation method for multivariable proportional-integral-derivative controller tuning
description	Efficient control of industrial processes is of great importance. The industrial control performance has to meet the desired optimum operation. However, the tuning process becomes a challenging matter especially for Multiple-Input Multiple- Output (MIMO) system with two-time scale characteristic. This motivates the use of singularly perturbation method in the design of Multivariable Proportional-Integral- Derivative (MPID) controller tuning. The singularly perturbation methods based on Naidu and Jian Niu were considered and tested. It is observed that singularly perturbation system by method of Naidu gives a good approximation at low, middle and high frequencies. Two MIMO systems with two-time scale characteristic that are wastewater treatment plant, and Newell and Lee evaporator were used as test beds. Traditionally, the MPID controller tuning namely Davison, Penttinen-Koivo, Maciejowski and Combined are based on full order static matrix inverse model. In this work, the singularly perturbed MPID controller tuning methods are proposed based on the dynamic matric inverse to improve the tuning of MIMO system. Furthermore, Particle Swarm Optimization has been applied in the tuning of the parameters for an optimum control performance. Comparing the closed loop performance and process interaction of traditional MPID and the proposed singularly perturbed MPID controller methods, the latter methods are able to improve transient responses, provide low steady state error, and reduce the process interaction.
format	Thesis
qualification_level	Master's degree
author	Che Razali, Mashitah
author_facet	Che Razali, Mashitah
author_sort	Che Razali, Mashitah
title	Singularly perturbation method for multivariable proportional-integral-derivative controller tuning
title_short	Singularly perturbation method for multivariable proportional-integral-derivative controller tuning
title_full	Singularly perturbation method for multivariable proportional-integral-derivative controller tuning
title_fullStr	Singularly perturbation method for multivariable proportional-integral-derivative controller tuning
title_full_unstemmed	Singularly perturbation method for multivariable proportional-integral-derivative controller tuning
title_sort	singularly perturbation method for multivariable proportional-integral-derivative controller tuning
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/48002/25/MashitahCheRazaliMFKE2014.pdf
_version_	1747817283879698432

Singularly perturbation method for multivariable proportional-integral-derivative controller tuning

Similar Items