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Comparison of state feedback and PID control of pressurizer water level in nuclear power plant

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The pressurizer water level control system in nuclear power plant with pressurized water reactor (PWR) is responsible for coolant mass balance. The main control goal is to stabilize the water level at a reference value and to suppress the effect of time-varying disturbances (e.g. coolant leakage in primary circuit pipeline system). In the process of PWR power plant operation incorrect water level may disturb pressure control or may cause damage to electric heaters which could threaten plant security and stability. In modern reactors standard PID controllers are used to control water level in a pressurizer. This paper describes the performance of state feedback integral controller (SFIC) with reduced-order Luenberger state observer designed for water level control in a pressurizer and compares it to the standard PID controller. All steps from modeling of a pressurizer through control design to implementation and simulation testing in Matlab/Simulink environment are detailed in the paper.
Rocznik
Strony
455--471
Opis fizyczny
Bibliogr. 8 poz., rys., tab., wzory
Twórcy
  • Gdansk University of Technology, Faculty of Electrical and Control Engineering, G. Narutowicza 11/12, 280-233 Gdansk, Poland
autor
  • Gdansk University of Technology, Faculty of Electrical and Control Engineering, G. Narutowicza 11/12, 280-233 Gdansk, Poland
  • Gdansk University of Technology, Faculty of Electrical and Control Engineering, G. Narutowicza 11/12, 280-233 Gdansk, Poland
  • Gdansk University of Technology, Faculty of Electrical and Control Engineering, G. Narutowicza 11/12, 280-233 Gdansk, Poland
autor
  • Gdansk University of Technology, Faculty of Electrical and Control Engineering, G. Narutowicza 11/12, 280-233 Gdansk, Poland
Bibliografia
  • [1] J. Guo, X. Sun and H. Wu: Research of pressurizer water level control system based on fuzzy-PID control. Proc. of the 4th Int. Workshop on Advanced Computational Intelligence (IWACI), Wuhan, China, (2011), 706-709.
  • [2] J. Yi, J. Ye, Z. Xue, X. Yang and X. Qian: Research on pressurizer water level control of nuclear reactor based on CMAC and PID Controller. Proc. of the Int. Conf. on Artificial Intelligence and Computational Intelligence (AICI ’09), Shanghai, China, (2009), 8-11.
  • [3] J. H. Ye, J. M. Yi, H. Y. Ji: Research on pressurizer water level control of nuclear reactor based on RBF neural network and PID controller. Proc. of the Int. Conf. on Machine Learning and Cybernetics (ICMLC), Qingdao, China, (2010), 1486-1489.
  • [4] G. D. Zhan, X. H. Yan, X. L. Ye, H. Xu, D. Q. Lu and W. Chen: Research on pressurizer water level control of pressurized water reactor nuclear power station.Energy Procedia, 16, Part B, (2012), 849-855.
  • [5] Cs. Fazekas, G. Szederkényi and K. M. Hangos: A simple dynamic model of the primary circuit in VVER plants for controller design purposes. Nuclear Engineering and Design, 237 (2007), 1071-1087.
  • [6] L. Yongling, M. Jin, Ch. Afang, H. Yu and W. Bingshu Mechanism model of pressurizer in the pressurized water reactor nuclear power plant based on PSO algorithm.Proc. of the Control and Decision Conf. (CCDC), Taiyuan, China, (2012), 178-182.
  • [7] E. Takasuo: Modeling of Pressurizer Using APROS and TRACE Thermal Hydraulic Codes. VTT Research Notes 2339, Helsinki, Finland, 2006.
  • [8] M. Cuibus, V. Bostan, S. Ambrosii, C. Ilas and R. Magureanu: Luenberger, Kalman and neural network observers for sensorless induction motor control.Proc. of the 3rd Int. Conf. on Power Electronics and Motion Control (IPEMC 2000), Beijing, China, (2000), 1256-1261.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1ee1ea1e-650c-4a4a-bdc8-5da2e709d938
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