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Optimized proportional gain of PI controller using PSO algorithm for research reactor TRIGA PUSPATI


Citation

Abdullah, Nor Arymaswati and Che Soh, Azura and Mohd Noor, Samsul Bahari and Abdul Rahman, Ribhan Zafira and Abdul Karim, Julia (2017) Optimized proportional gain of PI controller using PSO algorithm for research reactor TRIGA PUSPATI. In: 2017 IEEE 15th Student Conference on Research and Development (SCOReD), 13-14 Dec. 2017, Putrajaya, Malaysia. (pp. 23-28).

Abstract / Synopsis

The controller for the TRIGA PUSPATI reactor console is a Proportional Integral controller. Although its signal response performance for power demand level is acceptable, some improvements are required. The power demand level is almost able to achieve the set point. However, the settling time, rise time, and steady state error can be enhanced to improve the response. This paper proposes an optimization technique to improve the proportional gain of the Pl controller using the Particle Swarm Optimization technique. The optimization technique was confirmed using several analyses and plotted graphs. The results showed that with the PSO approach, the performance was improved with faster response compared to the non-optimized controller. The fast responses of settling time and rise time as well as smaller steady state errors confirmed the improved power demand level for each case. The percentage of improvement was measured between 60–90% for response performance and more than 90% of improvement was measured for the steady state.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/SCORED.2017.8305427
Publisher: IEEE
Keywords: Research reactor; Particle Swarm Optimization (PSO); Power demand level; Proportional Integral Differential (PJD) controller
Depositing User: Nabilah Mustapa
Date Deposited: 05 Mar 2018 14:48
Last Modified: 05 Mar 2018 14:48
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/SCORED.2017.8305427
URI: http://psasir.upm.edu.my/id/eprint/59442
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