Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm

Three-Phase Separators are used to separate well crudes into three portions; water, oil, and gas. A suitable control system should be in place to ensure the optimum function of the Three-Phase Separator. The current PID tuning technique does not provide an optimum system response of the separator. O...

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Main Authors: Sathasivam, L., Elamvazuthi, I., Khan, M.K.A.A., Parasuraman, S.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062525487&doi=10.1109%2fRTECC.2018.8625652&partnerID=40&md5=789e31719387723da6726e6312ba463a
http://eprints.utp.edu.my/23659/
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spelling my.utp.eprints.236592021-08-19T08:08:17Z Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm Sathasivam, L. Elamvazuthi, I. Khan, M.K.A.A. Parasuraman, S. Three-Phase Separators are used to separate well crudes into three portions; water, oil, and gas. A suitable control system should be in place to ensure the optimum function of the Three-Phase Separator. The current PID tuning technique does not provide an optimum system response of the separator. Overshoot response, offset, steady-state error and system instability are some of the problems faced. Besides, the current method used is purely based on trial and error which is time consuming. There is room for improvement of the current PID tuning technique. An artificial intelligence (AI) PID tuning technique called Particle Swarm Optimization (PSO) is introduced to improve the system response of the Three-Phase Separator. The PSO algorithm mimics the behaviour of bird flocking and fish schooling striving for its global best position. In our case, the global best position is replaced with the optimized PID tuning parameters for the separator. The PSO algorithm has been used in several other applications such as the Brushless DC motor and in the Control Ball Beam system. It has proven to be an effective tuning technique. Tuning of the Three-Phase Separator via PSO could prove to be an effective solution for Oil Gas industries. © 2018 IEEE. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062525487&doi=10.1109%2fRTECC.2018.8625652&partnerID=40&md5=789e31719387723da6726e6312ba463a Sathasivam, L. and Elamvazuthi, I. and Khan, M.K.A.A. and Parasuraman, S. (2019) Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm. In: UNSPECIFIED. http://eprints.utp.edu.my/23659/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Three-Phase Separators are used to separate well crudes into three portions; water, oil, and gas. A suitable control system should be in place to ensure the optimum function of the Three-Phase Separator. The current PID tuning technique does not provide an optimum system response of the separator. Overshoot response, offset, steady-state error and system instability are some of the problems faced. Besides, the current method used is purely based on trial and error which is time consuming. There is room for improvement of the current PID tuning technique. An artificial intelligence (AI) PID tuning technique called Particle Swarm Optimization (PSO) is introduced to improve the system response of the Three-Phase Separator. The PSO algorithm mimics the behaviour of bird flocking and fish schooling striving for its global best position. In our case, the global best position is replaced with the optimized PID tuning parameters for the separator. The PSO algorithm has been used in several other applications such as the Brushless DC motor and in the Control Ball Beam system. It has proven to be an effective tuning technique. Tuning of the Three-Phase Separator via PSO could prove to be an effective solution for Oil Gas industries. © 2018 IEEE.
format Conference or Workshop Item
author Sathasivam, L.
Elamvazuthi, I.
Khan, M.K.A.A.
Parasuraman, S.
spellingShingle Sathasivam, L.
Elamvazuthi, I.
Khan, M.K.A.A.
Parasuraman, S.
Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm
author_facet Sathasivam, L.
Elamvazuthi, I.
Khan, M.K.A.A.
Parasuraman, S.
author_sort Sathasivam, L.
title Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm
title_short Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm
title_full Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm
title_fullStr Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm
title_full_unstemmed Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm
title_sort tuning a three-phase separator level controller via particle swarm optimizationalgorithm
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062525487&doi=10.1109%2fRTECC.2018.8625652&partnerID=40&md5=789e31719387723da6726e6312ba463a
http://eprints.utp.edu.my/23659/
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score 13.211869