Research on pressurizer water level control of nuclear reactor based on RBF neural network and PID controller

Ye, Jianhua; Yi, Jinming; Ji, Hua-Yan

doi:10.1109/icmlc.2010.5580842

Cited by 10 publications

(7 citation statements)

References 5 publications

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“…Thus, control can also be done by utilizing expansion or contraction of the primary coolant by monitoring changes in average temperature [7]. To facilitate the simulation of water level control in the PWR pressurizer, several studies have proposed a transfer function to model a pressurizer [8], [9]. This transfer function was made in the form of a pressurizer independent model in the PWR regardless of the interaction of the influence of the reactor core, steam generator, and load demand.…”

Section: Methods 21 Pressurizermentioning

confidence: 99%

“…This transfer function was made in the form of a pressurizer independent model in the PWR regardless of the interaction of the influence of the reactor core, steam generator, and load demand. The literature shows that the pressurizer behavior is composed of the equations of mass conservation, energy conservation, and total volume conservation, one of which is shown in equation 1 [9]. This equation shows the dynamic modelling of the pressurizer level height (dz/dt) by considering several parameters such as the area of the pressurizer (diameter parameter D in meters), mass flow rate of surge line coolant (M1 in kg/m 3 ), volume of pressurizer water (v1 in m 3 ), pressurizer pressure (p in MPa), and water enthalpy at surge (h in units of kJ/kg).…”

Section: Methods 21 Pressurizermentioning

confidence: 99%

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Control of Air Pressurizer Levels on Pressurized Water Reactor (PWR) with Fractional Order PID Control System

Damayanti

Halim

Bakhri

2020

JPSE

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The water level control system in the pressurizer is carried out for safety purposes when the PWR reactor is operating. Control is done by maintaining the water level in the pressurizer at a certain level. The height of the water level in the pressurizer will change according to the conditions of the nuclear reactor. This research aimed to obtain the best safety control system using the fractional order PID (FOPID) control system and prove that using the control system will provide better results than other existing system applications. In this research, the optimum gain control of FOPID is obtained with Kp equals 416.4, Ki equals 416.4, Kd equals 104.1, constitutes integral equals 0.15, and derivative order equals 1.9, which results in 324 times faster settling time and maximum overshoot 1.5 times lower when compared to conventional PID controllers combined with CMAC.

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Section: Methods 21 Pressurizermentioning

confidence: 99%

Section: Methods 21 Pressurizermentioning

confidence: 99%

Control of Air Pressurizer Levels on Pressurized Water Reactor (PWR) with Fractional Order PID Control System

Damayanti

Halim

Bakhri

2020

JPSE

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“…By comparing equation 1with equation 3; and comparing equation 2with equation 4, we get the equation 5. M is a 2 2 matrixes where the first row elements are taken from the coefficients of ̇and ̇ from equation 3 (2). The N is formulated as equation (6).…”

Section: Methodsmentioning

confidence: 99%

Pressurizer Simulator

Suryabrata¹,

Mulyana²,

Witarsyah³

2015

EECSI

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A dynamic two-phase imbalance mechanism model of pressurizer in pressurized water reactor (PWR) nuclear power plant was built based on some reasonable simplifications and basic assumptions. The equations of energy and mass conservation are used in obtaining a mathematical model for pressurizer operation. The pressurizer is divided into two regions, steam region and liquid region but not necessary in equilibrium with each other. Considering the influence of the spray flow, surge flow, safety valve and heater, the model of pressurizer pressure control system is established by MATLAB/Simulink in this paper. For the large overshoot, response delay and poor stability exist in the pressurizer pressure control system, an advanced model based on PID control algorithm is proposed. The simulation results were compared between two different data obtained by foreign PWR nuclear power plant simulator. All the compared data are quite similar in simulation result, hence it proves the simulation result quite accurate and yet the mathematical model obtained has proved its working principles successfully.

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“…Another application of neural networks is to use them to tune the PID controller, as shown in the [3], it leads to the improvement of the quality of control and resistance to interference. All of these solutions share a common feature-PID algorithm.…”

Section: Survey Of Related Workmentioning

confidence: 99%

“…Mathematical models of water level in the pressurizer available in the literature are linear input-output transfer function models [2,3,4] or complex models that provide a full description of the dynamics of the phenomena occurring in the pressurizer available in dynamic simulators such as Star-90 Simulation Platform [6] or APROS [7]. In the paper a non-linear dynamic model of the water level in the pressurizer, derived from a general model that describes the dynamics of the primary circuit [5], was used.…”

Section: Problem Solutionmentioning

confidence: 99%

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

Czapliński¹,

Sokólski²,

Duzinkiewicz³

et al. 2013

Archives of Control Sciences

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Comparison of state feedback and PID control of pressurizer water level in nuclear power plant MARIUSZ CZAPLIŃSKI, PAWEŁ SOKÓLSKI, KAZIMIERZ DUZINKIEWICZ, ROBERT PIOTROWSKI and TOMASZ RUTKOWSKIThe 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.

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Research on pressurizer water level control of nuclear reactor based on RBF neural network and PID controller

Cited by 10 publications

References 5 publications

Control of Air Pressurizer Levels on Pressurized Water Reactor (PWR) with Fractional Order PID Control System

Control of Air Pressurizer Levels on Pressurized Water Reactor (PWR) with Fractional Order PID Control System

Pressurizer Simulator

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

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