Development of a PID-Fuzzy controller in the water level control of a pressurizer of a nuclear reactor
DOI:
https://doi.org/10.15392/bjrs.v8i3B.726Palabras clave:
control, fuzzy, pressurizer, reactorResumen
It is well known that safety in the operation of nuclear power plants is a primary requirement because a failure of this system can result in serious problems to the environment. A nuclear reactor has several systems that help keep it in normal operation, within safety margins. Many of these systems operate in the control of variable quantities in the primary circuit of a reactor. However, nuclear reactors are nonlinear physical systems, and this introduces a complexity in the control strategies. Among several mechanisms in the thermal-hydraulic system of a reactor that actuate as a controller, the pressurizer is the component responsible for absorbing pressure variations that occur in the primary circuit. This work aims at the development of a PID controller (Proportional Integral Derivative) based on fuzzy logic to operate in a pressurizer of a nuclear Pressurized Water Reactor. A Fuzzy Controller was developed using the process of fuzzification, inference, and defuzzification of the variables of interest to a pressurizer, then this controller was coupled to a PID Controller building a PID Controller, but oriented by Fuzzy logic. Subsequently, the PID-Fuzzy Controller was experimentally validated in a Simulation Plant in which transients like those in a PWR were conducted. The PID parameters were analyzed and adjusted for better responses and results. The results of the validation were also compared to simple controllers (on / off).
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LIU, C., PENG, J., ZHAO, F.; LI. C. Design and optimization of fuzzy-PID controller for the nuclear reactor power control. Nuclear Engineering and Design, Vol. 239, pp. 2311–2316, 2009.
LUPU, C.; PETRESCU, C.; TICLEA, A.; DIMON, C.; UDREA, A.; IRIMIA, B. Multi-model system with nonlinear compensator blocks, Polytechnic University of Bucharest Scientific Bulletin, Series C: Electrical Engineering, Vol. 70, n. 4, 2008.
KOLAVENNU, S., PALANKI, S., COCKBURN, J.C. Robust controller design for multimod-el H2/Hinfinity synthesis, Chemical Engineering Science, Vol. 56 (August (14)), pp. 4339–4349, 2001.
LUO, W., PAN, S., MA, Z., LAN. Identification-free adaptive optimal control based on switch-ing predictive models, In: Proceedings of SPIE—The International Society for Optical En-gineering, Vol. 7129, Seventh International Symposium on Instrumentation and Control Tech-nology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, pp. 71291J, 2008.
ZOU, T.; WANG, X.; LI, S.Y.; ZHU, Q.M. A mixed logic enhanced multi-model switching predictive controller for nonlinear dynamic process, Control and Intelligent Systems, Vol. 35, n. 2, pp. 154–161, 2007.
ISMAEL, M.-M.; YU, T. An effective fuzzy PD control for high precision servo mechanisms, In: Proceedings of the World Congress on Intelligent Control and Automation (WCICA), Vol. 1, pp. 134–138, 2006.
RUBAAI, A., CASTRO-SITIRICHE, M. J., OFOLI, A. R. DSP-based implementation of fuzzy-PID controller using genetic optimization for high performance motor drives, In: Conference Record—IAS Annual Meeting (IEEE Industry Applications Society), Conference Record of the 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS, pp.1649–1656, 2007.
RUBAAI, A., CASTRO-SITIRICHE, M. J., OFOLI, A. R. Design and implementation of parallel fuzzy PID controller for high-performance brushless motor drives: an integrated environ-ment for rapid control prototyping, IEEE Transactions on Industry Applications, Vol. 44 (4), pp.1090–1098, 2008.
ZADEH, L. A. Fuzzy sets. Information and Control, Vol. 8, pp. 338-353, 1965.
GUERRA, R. Projeto e simulação do controle de atitude autônomo de satélites usando lógica nebulosa, Mestrado em Engenharia e Tecnologia Espaciais/Mecânica Espacial e Controle, Instituto Nacional de Pesquisas Espaciais, São José dos Campos, 190 p. 1998.
MAMDANI, E. H.; ASSILIAN, S. A. An experiment in linguistic synthesis with a fuzzy logic controller, International Journal Man - machine Studies, Vol. 7, pp. 1-13, 1975.
TEIXEIRA Jr., C. A., Análise comparativa entre os controladores fuzzy PD+I e PID convencio-nal, Dissertação de Mestrado do Programa de Pós-Graduação em Sistemas de Comunica-ção, UFRSA, 2014.
“U.S.NRC, United States Nuclear Regulatory Commission. Backgrounder on the Three Mile Island Accident”, NRC Library, Document Collections, Fact Sheets, February, (2013).
Available at: < https://www.nrc.gov/reading-rm/doc-collections/fact-sheets/3mile-isle.html >. Last accessed: 01 Dece. 2017.
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