Numerical investigation on the influence of the type of PI controller combined with MAAP code on the steady-state performance of a nuclear power plant

Yu, Chia Li; Wang, Te-Chuan; Liu, Chia-Yi

doi:10.1016/j.nucengdes.2019.01.004

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…In this case, a pressurizer is very important to prevent over-pressure from happening and to maintain the stability of the heat generated from the reactor core so that the coolant water does not boil. Furthermore, the pressurizer system is also used as a safety system, namely serving as a barrier to prevent over-pressure from happening which may cause the environmental radionuclide releases to emerge [5].…”

Section: Methods 21 Pressurizermentioning

confidence: 99%

“…is a combination of differential-integral operators used in fractional calculus. This operator combines the fractional derivative and fractional integral into one expression and is defined as follows [12]   (5) in which α ∈ ℂ is a fractional order and a, t is the operational limit. There are several definitions of fractional derivative, one of which is that by Caputo as follows…”

Section: Fractional Calculusmentioning

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: Fractional Calculusmentioning

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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“…Where, the integral and proportional gains are designated as Ki and Kp, respectively, error signal is represented by e(t), y is output signal and the reference signal is denoted as r [28]. The P controller is a gain element; higher gain results in increased speed of system response, reduced steady-state error (ess) and reduced system stability.…”

Section: A P-i (Proportional-integral) Controllermentioning

confidence: 99%

Optimal Design of Fractional Order PID Controllers for Solid Oxide Fuel Cell System Employing PSO Algorithm

Singh¹,

Tayal²,

Singh³

et al. 2022

AJSE

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Solid Oxide Fuel Cells (SOFCs) are gaining attraction in order to facilitate various applications owing to portability, low pollution and high efficiency. However, due to strong nonlinearity, fast variations in loading conditions and sluggish dynamics, regulation of the output voltage of SOFCs is disturbed. This paper aims to enhance the dynamic performance of SOFC by employing PI, PI Fast, PIDF, 2-DOF PID and PSO optimized FO-PID controllers under uncertain input conditions. The PID tuner is used for tuning the PI, PI fast, PIDF and 2-DOF PID controller parameters. The PSO technique is utilized for optimizing of FO-PID controller. The SOFC output with various controllers is compared in terms of performance specifications such as peak overshoot, settling time, steady state error and rise time. The comparison of computer simulation results manifests that the proposed PSO-FOPID controller scheme yields in far better performance with SOFC subjected to uncertain input.

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Design of PSO-tuned FOPI & Smith predictor controller for nonlinear polymer electrolyte membrane fuel cell

Singh¹,

Tayal²,

Singh³

et al. 2022

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Numerical investigation on the influence of the type of PI controller combined with MAAP code on the steady-state performance of a nuclear power plant

Cited by 6 publications

References 11 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

Optimal Design of Fractional Order PID Controllers for Solid Oxide Fuel Cell System Employing PSO Algorithm

Design of PSO-tuned FOPI & Smith predictor controller for nonlinear polymer electrolyte membrane fuel cell

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