Application of fuzzy logic for power change rate constraint in core power control at Reaktor TRIGA PUSPATI

The 1MWth Reaktor TRIGA PUSPATI (RTP) in Malaysia Nuclear Agency has been in operation more than 37 years. The existing core power control uses a conventional controller known as Feedback Control Algorithm (FCA). It is technically challenging to keep the core power output stable and operate within t...

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Main Authors: Minhat, Mohd. Sabri, Mohd. Subha, Nurul Adilla, Hassan, Fazilah, Ahmad, Anita
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.utm.my/91086/1/MohdSabriMinhat2020_ApplicationofFuzzyLogicforPowerChange.pdf
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author Minhat, Mohd. Sabri
Mohd. Subha, Nurul Adilla
Hassan, Fazilah
Ahmad, Anita
author_facet Minhat, Mohd. Sabri
Mohd. Subha, Nurul Adilla
Hassan, Fazilah
Ahmad, Anita
author_sort Minhat, Mohd. Sabri
collection ePrints
description The 1MWth Reaktor TRIGA PUSPATI (RTP) in Malaysia Nuclear Agency has been in operation more than 37 years. The existing core power control uses a conventional controller known as Feedback Control Algorithm (FCA). It is technically challenging to keep the core power output stable and operate within the acceptable error bands for the safety demand of the RTP. At present, the power tracking performance of the system could be considered unsatisfactory where constant gains of power change rate constraint and control rod speed constraint are used. Hence, a study of a new power change rate constraint design to achieve safe control rod speed range is conducted to improve the current performance. In this paper, a new power change rate constraint (PCRC) method using fuzzy logic is proposed to control the core power. The Takagi-Sugeno (T-S) type Fuzzy model is chosen due to its capability to work well with linear controller and making the computational control algorithm efficient. The model for core power control consists of mathematical models of the reactor core, FCA, and control rods selection algorithm. The mathematical models of the reactor core are based on point kinetics model, thermal-hydraulic models and reactivity models. The performance of power tracking and actuation signal for control rod drive input are compared between the conventional PCRC (cPCRC) and Fuzzy PCRC using MATLAB. In conclusion, the proposed Fuzzy PCRC has satisfactory performance in core power tracking for controlling the nuclear reactor with high reliability and safety.
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spelling utm.eprints-910862021-05-31T13:45:09Z http://eprints.utm.my/91086/ Application of fuzzy logic for power change rate constraint in core power control at Reaktor TRIGA PUSPATI Minhat, Mohd. Sabri Mohd. Subha, Nurul Adilla Hassan, Fazilah Ahmad, Anita TK Electrical engineering. Electronics Nuclear engineering The 1MWth Reaktor TRIGA PUSPATI (RTP) in Malaysia Nuclear Agency has been in operation more than 37 years. The existing core power control uses a conventional controller known as Feedback Control Algorithm (FCA). It is technically challenging to keep the core power output stable and operate within the acceptable error bands for the safety demand of the RTP. At present, the power tracking performance of the system could be considered unsatisfactory where constant gains of power change rate constraint and control rod speed constraint are used. Hence, a study of a new power change rate constraint design to achieve safe control rod speed range is conducted to improve the current performance. In this paper, a new power change rate constraint (PCRC) method using fuzzy logic is proposed to control the core power. The Takagi-Sugeno (T-S) type Fuzzy model is chosen due to its capability to work well with linear controller and making the computational control algorithm efficient. The model for core power control consists of mathematical models of the reactor core, FCA, and control rods selection algorithm. The mathematical models of the reactor core are based on point kinetics model, thermal-hydraulic models and reactivity models. The performance of power tracking and actuation signal for control rod drive input are compared between the conventional PCRC (cPCRC) and Fuzzy PCRC using MATLAB. In conclusion, the proposed Fuzzy PCRC has satisfactory performance in core power tracking for controlling the nuclear reactor with high reliability and safety. 2020-05-26 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/91086/1/MohdSabriMinhat2020_ApplicationofFuzzyLogicforPowerChange.pdf Minhat, Mohd. Sabri and Mohd. Subha, Nurul Adilla and Hassan, Fazilah and Ahmad, Anita (2020) Application of fuzzy logic for power change rate constraint in core power control at Reaktor TRIGA PUSPATI. In: International Nuclear Science Technology and Engineering Conference 2019, iNuSTEC 2019, 29 October 2019 - 31 October 2019, Universiti Kebangsaan Malaysia (UKM)Bangi, Selangor, Malaysia. http://dx.doi.org/10.1088/1757-899X/785/1/012022
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Minhat, Mohd. Sabri
Mohd. Subha, Nurul Adilla
Hassan, Fazilah
Ahmad, Anita
Application of fuzzy logic for power change rate constraint in core power control at Reaktor TRIGA PUSPATI
title Application of fuzzy logic for power change rate constraint in core power control at Reaktor TRIGA PUSPATI
title_full Application of fuzzy logic for power change rate constraint in core power control at Reaktor TRIGA PUSPATI
title_fullStr Application of fuzzy logic for power change rate constraint in core power control at Reaktor TRIGA PUSPATI
title_full_unstemmed Application of fuzzy logic for power change rate constraint in core power control at Reaktor TRIGA PUSPATI
title_short Application of fuzzy logic for power change rate constraint in core power control at Reaktor TRIGA PUSPATI
title_sort application of fuzzy logic for power change rate constraint in core power control at reaktor triga puspati
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/91086/1/MohdSabriMinhat2020_ApplicationofFuzzyLogicforPowerChange.pdf
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