Optimized proportional gain of PI controller using PSO algorithm for research reactor TRIGA PUSPATI
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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/59442/ http://psasir.upm.edu.my/id/eprint/59442/1/Optimized%20proportional%20gain%20of%20PI%20controller%20using%20PSO%20algorithm%20for%20research%20reactor%20TRIGA%20PUSPATI.pdf |
| _version_ | 1848853921983889408 |
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| author | Abdullah, Nor Arymaswati Che Soh, Azura Mohd Noor, Samsul Bahari Abdul Rahman, Ribhan Zafira Abdul Karim, Julia |
| author_facet | Abdullah, Nor Arymaswati Che Soh, Azura Mohd Noor, Samsul Bahari Abdul Rahman, Ribhan Zafira Abdul Karim, Julia |
| author_sort | Abdullah, Nor Arymaswati |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T11:01:40Z |
| format | Conference or Workshop Item |
| id | upm-59442 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:01:40Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-594422018-03-05T06:48:57Z http://psasir.upm.edu.my/id/eprint/59442/ Optimized proportional gain of PI controller using PSO algorithm for research reactor TRIGA PUSPATI Abdullah, Nor Arymaswati Che Soh, Azura Mohd Noor, Samsul Bahari Abdul Rahman, Ribhan Zafira Abdul Karim, Julia 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. IEEE 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59442/1/Optimized%20proportional%20gain%20of%20PI%20controller%20using%20PSO%20algorithm%20for%20research%20reactor%20TRIGA%20PUSPATI.pdf 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). 10.1109/SCORED.2017.8305427 |
| spellingShingle | Abdullah, Nor Arymaswati Che Soh, Azura Mohd Noor, Samsul Bahari Abdul Rahman, Ribhan Zafira Abdul Karim, Julia Optimized proportional gain of PI controller using PSO algorithm for research reactor TRIGA PUSPATI |
| title | Optimized proportional gain of PI controller using PSO algorithm for research reactor TRIGA PUSPATI |
| title_full | Optimized proportional gain of PI controller using PSO algorithm for research reactor TRIGA PUSPATI |
| title_fullStr | Optimized proportional gain of PI controller using PSO algorithm for research reactor TRIGA PUSPATI |
| title_full_unstemmed | Optimized proportional gain of PI controller using PSO algorithm for research reactor TRIGA PUSPATI |
| title_short | Optimized proportional gain of PI controller using PSO algorithm for research reactor TRIGA PUSPATI |
| title_sort | optimized proportional gain of pi controller using pso algorithm for research reactor triga puspati |
| url | http://psasir.upm.edu.my/id/eprint/59442/ http://psasir.upm.edu.my/id/eprint/59442/ http://psasir.upm.edu.my/id/eprint/59442/1/Optimized%20proportional%20gain%20of%20PI%20controller%20using%20PSO%20algorithm%20for%20research%20reactor%20TRIGA%20PUSPATI.pdf |