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Temperature control method optimization with global criterion genetic algorithm in thermal vacuum chamber for satellite testing

The proportional integral derivative (PID) controller that is adopted in the temperature control system of thermal vacuum chamber (TVC) is manually tuned has caused the temperature profile required more time to stabilize and fluctuate during satellite testing. Thus, other method is required to do th...

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Main Authors: Salleh, Nor'asnilawati, Mohd. Daud, Salwani, Sabri, Sharizal Fadlie, Abd. Aziz, Nur Syazarin Natasha
Format: Article
Language:English
Published: Inst Advanced Science Extension 2017
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T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/77286/1/SalwaniMohdDaud2017_TemperatureControlMethodOptimization.pdf
http://eprints.utm.my/id/eprint/77286/
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spelling my.utm.772862018-06-29T21:27:18Z http://eprints.utm.my/id/eprint/77286/ Temperature control method optimization with global criterion genetic algorithm in thermal vacuum chamber for satellite testing Salleh, Nor'asnilawati Mohd. Daud, Salwani Sabri, Sharizal Fadlie Abd. Aziz, Nur Syazarin Natasha T Technology (General) The proportional integral derivative (PID) controller that is adopted in the temperature control system of thermal vacuum chamber (TVC) is manually tuned has caused the temperature profile required more time to stabilize and fluctuate during satellite testing. Thus, other method is required to do the tuning of the PID controller. An optimization algorithm is an alternative method that can be applied to do the PID tuning and an optimized system can be developed. In this study, the optimization algorithm that is able to do the PID tuning for temperature control system is investigated in order to be implemented in the TVC's temperature control system. The genetic algorithm (GA) is found to be the suitable method that can be implemented as it is able to optimize the settling time and overshoot very quickly in temperature control system compared to other methods. However, due to more than one objective aimed in this study, the global criterion genetic algorithm (GCGA), a multi objective genetic algorithm (MOGA) method become the best approach to be chosen. Two models were designed using PID controller and GCGA-PID controller for the TVC's temperature control system. Simulation testing is done and the settling time and overshoot value are measured to compare both models. Analysis suggests that the optimization tuning by using GCGA method improves the settling time 30% better than using the PID controller alone. Meanwhile, in terms of overshoot, the performance is increased by almost 99.85%. By applying the optimization algorithm, the TVC's temperature control method can be enhanced during satellite testing compare to the current manually implementation. (C) 2017 The Authors. Published by IASE. Inst Advanced Science Extension 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/77286/1/SalwaniMohdDaud2017_TemperatureControlMethodOptimization.pdf Salleh, Nor'asnilawati and Mohd. Daud, Salwani and Sabri, Sharizal Fadlie and Abd. Aziz, Nur Syazarin Natasha (2017) Temperature control method optimization with global criterion genetic algorithm in thermal vacuum chamber for satellite testing. International Journal of Advanced and Applied Sciences, 4 (12, 1). pp. 117-124. ISSN 2313-3724 DOI:10.21833/ijaas.2017.012.022
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Salleh, Nor'asnilawati
Mohd. Daud, Salwani
Sabri, Sharizal Fadlie
Abd. Aziz, Nur Syazarin Natasha
Temperature control method optimization with global criterion genetic algorithm in thermal vacuum chamber for satellite testing
description The proportional integral derivative (PID) controller that is adopted in the temperature control system of thermal vacuum chamber (TVC) is manually tuned has caused the temperature profile required more time to stabilize and fluctuate during satellite testing. Thus, other method is required to do the tuning of the PID controller. An optimization algorithm is an alternative method that can be applied to do the PID tuning and an optimized system can be developed. In this study, the optimization algorithm that is able to do the PID tuning for temperature control system is investigated in order to be implemented in the TVC's temperature control system. The genetic algorithm (GA) is found to be the suitable method that can be implemented as it is able to optimize the settling time and overshoot very quickly in temperature control system compared to other methods. However, due to more than one objective aimed in this study, the global criterion genetic algorithm (GCGA), a multi objective genetic algorithm (MOGA) method become the best approach to be chosen. Two models were designed using PID controller and GCGA-PID controller for the TVC's temperature control system. Simulation testing is done and the settling time and overshoot value are measured to compare both models. Analysis suggests that the optimization tuning by using GCGA method improves the settling time 30% better than using the PID controller alone. Meanwhile, in terms of overshoot, the performance is increased by almost 99.85%. By applying the optimization algorithm, the TVC's temperature control method can be enhanced during satellite testing compare to the current manually implementation. (C) 2017 The Authors. Published by IASE.
format Article
author Salleh, Nor'asnilawati
Mohd. Daud, Salwani
Sabri, Sharizal Fadlie
Abd. Aziz, Nur Syazarin Natasha
author_facet Salleh, Nor'asnilawati
Mohd. Daud, Salwani
Sabri, Sharizal Fadlie
Abd. Aziz, Nur Syazarin Natasha
author_sort Salleh, Nor'asnilawati
title Temperature control method optimization with global criterion genetic algorithm in thermal vacuum chamber for satellite testing
title_short Temperature control method optimization with global criterion genetic algorithm in thermal vacuum chamber for satellite testing
title_full Temperature control method optimization with global criterion genetic algorithm in thermal vacuum chamber for satellite testing
title_fullStr Temperature control method optimization with global criterion genetic algorithm in thermal vacuum chamber for satellite testing
title_full_unstemmed Temperature control method optimization with global criterion genetic algorithm in thermal vacuum chamber for satellite testing
title_sort temperature control method optimization with global criterion genetic algorithm in thermal vacuum chamber for satellite testing
publisher Inst Advanced Science Extension
publishDate 2017
url http://eprints.utm.my/id/eprint/77286/1/SalwaniMohdDaud2017_TemperatureControlMethodOptimization.pdf
http://eprints.utm.my/id/eprint/77286/
_version_ 1643657542455263232
score 13.211869

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