Improving TRIGA PUSPATI Reactor performance with a PI controller and PSO-optimized fractional order lead-lag compensator

Controlling the power level in the TRIGA PUSPATI Reactor (RTP) is crucial for both producing accurate power output and managing reactor activity and power distribution. Currently, the RTP uses a Feedback Controller Algorithm (FCA) based on a Proportional-Integral (PI) controller to improve steady-st...

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Main Authors: Che Soh, Azura, Mohd Noor, Samsul Bahari, Abdul Rahman, Ribhan Zafira, Abdullah, Nor Arymaswati, Abdul Karim, Julia
Format: Article
Language:English
Published: Universiti Malaysia Sabah 2024
Online Access:http://psasir.upm.edu.my/id/eprint/120332/
http://psasir.upm.edu.my/id/eprint/120332/1/120332.pdf
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author Che Soh, Azura
Mohd Noor, Samsul Bahari
Abdul Rahman, Ribhan Zafira
Abdullah, Nor Arymaswati
Abdul Karim, Julia
author_facet Che Soh, Azura
Mohd Noor, Samsul Bahari
Abdul Rahman, Ribhan Zafira
Abdullah, Nor Arymaswati
Abdul Karim, Julia
author_sort Che Soh, Azura
building UPM Institutional Repository
collection Online Access
description Controlling the power level in the TRIGA PUSPATI Reactor (RTP) is crucial for both producing accurate power output and managing reactor activity and power distribution. Currently, the RTP uses a Feedback Controller Algorithm (FCA) based on a Proportional-Integral (PI) controller to improve steady-state error during operation. However, this existing model faces issues such as delays in reaching a steady state and an inability to minimize errors due to insufficient power accuracy and an ineffective controller. To address these issues, a new structure called the Fractional Order Lead-Lag Compensator (FOLLC) has been introduced. Traditionally, the FOLLC structure is identified through loop shaping using Bode plots and root locus in the frequency response domain. In this study, however, the Particle Swarm Optimization (PSO) technique has been employed to estimate the values of the compensator’s poles and zeros. Integrating the compensator with the PSO approach improved the reactor core system's ability to reach and maintain the desired power output while minimizing deviations from the target power level, achieving Residual Mean Percentage (RMP) values between 0.75% and 2.35%. In comparison, the model without a compensator had much higher RMP values of 3.45% to 27.48%, showing a less accurate match with the real plant. This integration enhanced the overall performance of the reactor core system.
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spelling upm-1203322025-09-30T09:02:40Z http://psasir.upm.edu.my/id/eprint/120332/ Improving TRIGA PUSPATI Reactor performance with a PI controller and PSO-optimized fractional order lead-lag compensator Che Soh, Azura Mohd Noor, Samsul Bahari Abdul Rahman, Ribhan Zafira Abdullah, Nor Arymaswati Abdul Karim, Julia Controlling the power level in the TRIGA PUSPATI Reactor (RTP) is crucial for both producing accurate power output and managing reactor activity and power distribution. Currently, the RTP uses a Feedback Controller Algorithm (FCA) based on a Proportional-Integral (PI) controller to improve steady-state error during operation. However, this existing model faces issues such as delays in reaching a steady state and an inability to minimize errors due to insufficient power accuracy and an ineffective controller. To address these issues, a new structure called the Fractional Order Lead-Lag Compensator (FOLLC) has been introduced. Traditionally, the FOLLC structure is identified through loop shaping using Bode plots and root locus in the frequency response domain. In this study, however, the Particle Swarm Optimization (PSO) technique has been employed to estimate the values of the compensator’s poles and zeros. Integrating the compensator with the PSO approach improved the reactor core system's ability to reach and maintain the desired power output while minimizing deviations from the target power level, achieving Residual Mean Percentage (RMP) values between 0.75% and 2.35%. In comparison, the model without a compensator had much higher RMP values of 3.45% to 27.48%, showing a less accurate match with the real plant. This integration enhanced the overall performance of the reactor core system. Universiti Malaysia Sabah 2024-12-04 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/120332/1/120332.pdf Che Soh, Azura and Mohd Noor, Samsul Bahari and Abdul Rahman, Ribhan Zafira and Abdullah, Nor Arymaswati and Abdul Karim, Julia (2024) Improving TRIGA PUSPATI Reactor performance with a PI controller and PSO-optimized fractional order lead-lag compensator. Transactions on Science and Technology, 10 (4). pp. 207-213. ISSN 2289-8786 https://tost.unise.org/pdfs/vol11/no4/ToST-11x4x207-213xOA.pdf
spellingShingle Che Soh, Azura
Mohd Noor, Samsul Bahari
Abdul Rahman, Ribhan Zafira
Abdullah, Nor Arymaswati
Abdul Karim, Julia
Improving TRIGA PUSPATI Reactor performance with a PI controller and PSO-optimized fractional order lead-lag compensator
title Improving TRIGA PUSPATI Reactor performance with a PI controller and PSO-optimized fractional order lead-lag compensator
title_full Improving TRIGA PUSPATI Reactor performance with a PI controller and PSO-optimized fractional order lead-lag compensator
title_fullStr Improving TRIGA PUSPATI Reactor performance with a PI controller and PSO-optimized fractional order lead-lag compensator
title_full_unstemmed Improving TRIGA PUSPATI Reactor performance with a PI controller and PSO-optimized fractional order lead-lag compensator
title_short Improving TRIGA PUSPATI Reactor performance with a PI controller and PSO-optimized fractional order lead-lag compensator
title_sort improving triga puspati reactor performance with a pi controller and pso-optimized fractional order lead-lag compensator
url http://psasir.upm.edu.my/id/eprint/120332/
http://psasir.upm.edu.my/id/eprint/120332/
http://psasir.upm.edu.my/id/eprint/120332/1/120332.pdf