Autotuned fuzzy-proportional-integral-derivative controller for cascade load-sharing compressor

This thesis focuses on a control scheme of a load sharing parallel compressors commonly utilised in process industries. Typical control systems for parallel compressors in the industry, consist of a pre-set anti-surge control and loading-sharing control scheme. In this parallel compressor system, th...

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Main Author:	Philip, Nicholas
Format:	Thesis
Language:	English
Published:	2021
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/101834/1/NicholasPhilipMSKE2021.pdf
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spelling	my-utm-ep.1018342023-07-13T01:37:35Z Autotuned fuzzy-proportional-integral-derivative controller for cascade load-sharing compressor 2021 Philip, Nicholas TK Electrical engineering. Electronics Nuclear engineering This thesis focuses on a control scheme of a load sharing parallel compressors commonly utilised in process industries. Typical control systems for parallel compressors in the industry, consist of a pre-set anti-surge control and loading-sharing control scheme. In this parallel compressor system, the characteristics of individual compressors are never the same, i.e. a stronger compressor will tend to take in more flow, causing the other compressor to lose its compressibility and causes it to fall into a surge region. The challenge occurs due to the proven nature of the whole system which exhibits control interactions between the components. Therefore, in this thesis, an optimised double feedback control i.e. a self-tuner fuzzy cascade PID controller and automatic self-tuning fuzzy PID antisurge controller, is proposed. The implementation of PID controllers is due to its simplicity and robustness, and its wide applicability in the existing process industry. On the other hand, adapting fuzzy tuners on PID controllers is proven can improve the performance of the conventional PID, and since fuzzy logic control box can be embedded to an existing distributed control system (DCS) in the process industry, the implementation is imminent. For the proposed controller, the cascade PID controller can preserve the linear structure of the PID. Meanwhile, the fuzzy logic controller able to continuously tune each of the PID parameter to adapt to rapid changes of the load sharing and surge control of the parallel compressors. The performance of the proposed controller design is evaluated with respect to the conventional cascade PID controller. The performance evaluation is performed in terms of the system’s transient response i.e. rise time, overshoot and settling time as well as the system’s stability using Simulink. The simulation results showing that the proposed fuzzy logic cascade PID controller can respectively achieve 72%, 88.2% and 92.9% improvement in reducing rise time, settling time and percentage overshoot as compared to the conventional cascade PID. From the results obtained, it can be concluded that the proposed controller design has a better adaptation and performance on the parallel load sharing compressors compared to the conventional cascade PID control. 2021 Thesis http://eprints.utm.my/id/eprint/101834/ http://eprints.utm.my/id/eprint/101834/1/NicholasPhilipMSKE2021.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149132 masters Universiti Teknologi Malaysia Faculty of Engineering - School 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 Philip, Nicholas Autotuned fuzzy-proportional-integral-derivative controller for cascade load-sharing compressor
description	This thesis focuses on a control scheme of a load sharing parallel compressors commonly utilised in process industries. Typical control systems for parallel compressors in the industry, consist of a pre-set anti-surge control and loading-sharing control scheme. In this parallel compressor system, the characteristics of individual compressors are never the same, i.e. a stronger compressor will tend to take in more flow, causing the other compressor to lose its compressibility and causes it to fall into a surge region. The challenge occurs due to the proven nature of the whole system which exhibits control interactions between the components. Therefore, in this thesis, an optimised double feedback control i.e. a self-tuner fuzzy cascade PID controller and automatic self-tuning fuzzy PID antisurge controller, is proposed. The implementation of PID controllers is due to its simplicity and robustness, and its wide applicability in the existing process industry. On the other hand, adapting fuzzy tuners on PID controllers is proven can improve the performance of the conventional PID, and since fuzzy logic control box can be embedded to an existing distributed control system (DCS) in the process industry, the implementation is imminent. For the proposed controller, the cascade PID controller can preserve the linear structure of the PID. Meanwhile, the fuzzy logic controller able to continuously tune each of the PID parameter to adapt to rapid changes of the load sharing and surge control of the parallel compressors. The performance of the proposed controller design is evaluated with respect to the conventional cascade PID controller. The performance evaluation is performed in terms of the system’s transient response i.e. rise time, overshoot and settling time as well as the system’s stability using Simulink. The simulation results showing that the proposed fuzzy logic cascade PID controller can respectively achieve 72%, 88.2% and 92.9% improvement in reducing rise time, settling time and percentage overshoot as compared to the conventional cascade PID. From the results obtained, it can be concluded that the proposed controller design has a better adaptation and performance on the parallel load sharing compressors compared to the conventional cascade PID control.
format	Thesis
qualification_level	Master's degree
author	Philip, Nicholas
author_facet	Philip, Nicholas
author_sort	Philip, Nicholas
title	Autotuned fuzzy-proportional-integral-derivative controller for cascade load-sharing compressor
title_short	Autotuned fuzzy-proportional-integral-derivative controller for cascade load-sharing compressor
title_full	Autotuned fuzzy-proportional-integral-derivative controller for cascade load-sharing compressor
title_fullStr	Autotuned fuzzy-proportional-integral-derivative controller for cascade load-sharing compressor
title_full_unstemmed	Autotuned fuzzy-proportional-integral-derivative controller for cascade load-sharing compressor
title_sort	autotuned fuzzy-proportional-integral-derivative controller for cascade load-sharing compressor
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2021
url	http://eprints.utm.my/id/eprint/101834/1/NicholasPhilipMSKE2021.pdf
_version_	1776100782723039232

Autotuned fuzzy-proportional-integral-derivative controller for cascade load-sharing compressor

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