Intelligent control rod selection algorithm for core power control at TRIGA Puspati Reactor using fuzzy logic technique
The TRIGA PUSPATI Reactor (RTP) serves as Malaysia's primary research reactor, supporting a range of nuclear applications. A critical element in its operation is the control rod selection algorithm (CRSA), which regulates reactor power and ensures stability. The conventional CRSA (cCRSA), howev...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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UTEM
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/119393/ http://psasir.upm.edu.my/id/eprint/119393/1/119393.pdf |
| _version_ | 1848867952732930048 |
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| author | Che Soh, Azura Abdul Rahman, Ribhan Zafira Minhat, Mohd Sabri Gunasegaran, S. |
| author_facet | Che Soh, Azura Abdul Rahman, Ribhan Zafira Minhat, Mohd Sabri Gunasegaran, S. |
| author_sort | Che Soh, Azura |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The TRIGA PUSPATI Reactor (RTP) serves as Malaysia's primary research reactor, supporting a range of nuclear applications. A critical element in its operation is the control rod selection algorithm (CRSA), which regulates reactor power and ensures stability. The conventional CRSA (cCRSA), however, faces challenges in managing transient operations and achieving precise steady-state control due to fluctuations in control rod worth. To address these issues, a new fuzzy logic-based control rod selection algorithm (Fuzzy-CRSA) has been developed and validated through MATLAB simulations. This Fuzzy-CRSA approach provides a more flexible and resilient method for controlling the reactor’s four types of rods. By optimizing rod selection and movement, Fuzzy-CRSA achieves faster response times and greater stability compared to the cCRSA, with improvements in rise time from 0.57% to 27.67% and in settling time from 3.14% to 25.88%. These results highlight Fuzzy-CRSA’s capability to more effectively meet the RTP’s power requirements, enhancing reactor performance and supporting Malaysia’s nuclear research progress. |
| first_indexed | 2025-11-15T14:44:40Z |
| format | Article |
| id | upm-119393 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:44:40Z |
| publishDate | 2025 |
| publisher | UTEM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1193932025-08-19T07:03:06Z http://psasir.upm.edu.my/id/eprint/119393/ Intelligent control rod selection algorithm for core power control at TRIGA Puspati Reactor using fuzzy logic technique Che Soh, Azura Abdul Rahman, Ribhan Zafira Minhat, Mohd Sabri Gunasegaran, S. The TRIGA PUSPATI Reactor (RTP) serves as Malaysia's primary research reactor, supporting a range of nuclear applications. A critical element in its operation is the control rod selection algorithm (CRSA), which regulates reactor power and ensures stability. The conventional CRSA (cCRSA), however, faces challenges in managing transient operations and achieving precise steady-state control due to fluctuations in control rod worth. To address these issues, a new fuzzy logic-based control rod selection algorithm (Fuzzy-CRSA) has been developed and validated through MATLAB simulations. This Fuzzy-CRSA approach provides a more flexible and resilient method for controlling the reactor’s four types of rods. By optimizing rod selection and movement, Fuzzy-CRSA achieves faster response times and greater stability compared to the cCRSA, with improvements in rise time from 0.57% to 27.67% and in settling time from 3.14% to 25.88%. These results highlight Fuzzy-CRSA’s capability to more effectively meet the RTP’s power requirements, enhancing reactor performance and supporting Malaysia’s nuclear research progress. UTEM 2025-04-30 Article PeerReviewed text en cc_by http://psasir.upm.edu.my/id/eprint/119393/1/119393.pdf Che Soh, Azura and Abdul Rahman, Ribhan Zafira and Minhat, Mohd Sabri and Gunasegaran, S. (2025) Intelligent control rod selection algorithm for core power control at TRIGA Puspati Reactor using fuzzy logic technique. International Journal of Electrical Engineering and Applied Sciences, 8 (1). pp. 1-9. ISSN 2600-7495; eISSN: 2600-9633 https://ijeeas.utem.edu.my/ijeeas/article/view/6257 |
| spellingShingle | Che Soh, Azura Abdul Rahman, Ribhan Zafira Minhat, Mohd Sabri Gunasegaran, S. Intelligent control rod selection algorithm for core power control at TRIGA Puspati Reactor using fuzzy logic technique |
| title | Intelligent control rod selection algorithm for core power control at TRIGA Puspati Reactor using fuzzy logic technique |
| title_full | Intelligent control rod selection algorithm for core power control at TRIGA Puspati Reactor using fuzzy logic technique |
| title_fullStr | Intelligent control rod selection algorithm for core power control at TRIGA Puspati Reactor using fuzzy logic technique |
| title_full_unstemmed | Intelligent control rod selection algorithm for core power control at TRIGA Puspati Reactor using fuzzy logic technique |
| title_short | Intelligent control rod selection algorithm for core power control at TRIGA Puspati Reactor using fuzzy logic technique |
| title_sort | intelligent control rod selection algorithm for core power control at triga puspati reactor using fuzzy logic technique |
| url | http://psasir.upm.edu.my/id/eprint/119393/ http://psasir.upm.edu.my/id/eprint/119393/ http://psasir.upm.edu.my/id/eprint/119393/1/119393.pdf |