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...

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Main Author: Che Razali, Mashitah
Format: Thesis
Language:English
Published: 2014
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Online Access:http://eprints.utm.my/id/eprint/48002/25/MashitahCheRazaliMFKE2014.pdf
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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
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