A Mathematical Model for Total Power Control Loop of Large PHWRs

Subudhi, Ch Santosh; Bhatt, T. U.; Tiwari, A.P.

doi:10.1109/tns.2016.2562678

Cited by 13 publications

(12 citation statements)

References 11 publications

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“…In practical applications, dynamic compensating networks are employed to improve the response time characteristics of actuators and sensors [55]. Smoothing filters and lag-filters are usually employed to handle high-frequency components [56].…”

Section: B Case A: Reactor Power Loopmentioning

confidence: 99%

L₁-Adaptive Robust Control Design for a Pressurized Water-Type Nuclear Power Plant

Vajpayee

Becerra

Bausch

et al. 2021

IEEE Trans. Nucl. Sci.

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This work proposes adaptive control-based design strategies to control a pressurized water (PWR) nuclear power plant (NPP). An L1-adaptive-based state feedback control technique is proposed using linear quadratic Gaussian control and projection-based adaptation laws. The control scheme possesses good robustness capabilities in handling disturbances and uncertainties. A Robust L1-adaptive control technique is also proposed by combining the L1-adaptive control with the loop transfer recovery (LTR) technology. The framework hence gives strengthened robust set-point tracking performance given the matched and unmatched uncertainties and disturbances. The NPP model employed in the current work is defined by five-inputs, fiveoutputs, and thirty-eight state variables. A linear model for controller design is obtained by linearizing the nonlinear NPP model at operating conditions. Various simulations are carried out on subsystems of the NPP to verify the effectiveness of the proposed scheme. Numerical and statistical measures are computed for quantitative analysis of the controllers' performance. Several classical control design techniques are also implemented, and their performance is compared with the proposed adaptive control techniques.

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Section: B Case A: Reactor Power Loopmentioning

confidence: 99%

L₁-Adaptive Robust Control Design for a Pressurized Water-Type Nuclear Power Plant

Vajpayee

Becerra

Bausch

et al. 2021

IEEE Trans. Nucl. Sci.

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“…The reactor power can be sensed using ex-core detectors. The ex-core detectors produce an ex-core detector current (i lo ) proportional to the neutronic power, which is amplified by a logarithmic amplifier as follows [30]:…”

Section: Ex-core Detectorsmentioning

confidence: 99%

Analysis of Transient Interactions between a PWR Nuclear Power Plant and a Faulted Electricity Grid

2021

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This paper presents the transient stability analysis of a pressurised water-type nuclear power plant following faults and disturbances affecting the electricity grid to which it is connected. The modelled nuclear plant consists of various integrated subsystems, such as core neutronics and thermal-hydraulics, piping and plenum, pressuriser, steam generator, turbine, governor, and dynamics shaft, in addition to the turbine-speed controller. The nonlinear nuclear power plant model is linearised at the operating point to acquire a linear model for controller design. The turbine-speed control loop effectively enacts a closed-loop implementation of the nuclear power plant connected to the electric grid. The various transient stability enhancement components such as the power system stabiliser, static var compensator, and static synchronous compensator are employed to test performance during severe contingencies. The interaction between the nuclear power plant, electric grid, and protection system is studied under various scenarios such as single-phase fault, three-phase fault, and permanent load loss. The performance of the nonlinear plant is further observed during load-following operation. The dynamic behaviour of the overall system is analysed using simulations in the MATLAB/Simulink/Simscape environment.

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“…For model identification, the current for control rod movement is taken as input and the sensor current is taken as output. The identification is carried out in MATLAB using the System Identification Toolbox and the data for identification were obtained from [24] and [25]. For 60% and 100% power levels, the identification data has been collected from simulation model run for 25s with 0.01 sampling time.…”

Section: Pwr Model With Sensor and Actuatormentioning

confidence: 99%

LMI Based Robust PID Controller Design for PWR with Bounded Uncertainty using Interval Approach

Banerjee

Deng

Vajpayee

et al. 2019

2019 7th International Conference on Control, Mechatronics and Automation (ICCMA)

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Pressurized Water Reactors are popular in the nuclear power generation industry due to their self-regulating and self-stabilizing features which in turn help them to perform load-following operation. However, fast power maneuvering is a challenging task due to inherent nonlinearity in a reactor. It leads to changes in the behavior with variation in reactor power. Further, the heat transfers from fuel to coolant and the reactivity changes due to variation in fuel and coolant temperatures introduces uncertainty in the system. Thus, it is essential to design a robust controller for load-following operation. In this paper, the point kinetics model of PWR coupled with the Mann's thermal-hydraulic model has been considered in addition to power sensor model and actuator model. This model has been identified as an interval system with bounded parametric uncertainties in measurements (fuel and coolant). The work then formulates a methodology to design a single robust PID controller using linear matrix inequalities by varying the weighting matrices. The outcomes have been validated using MATLAB simulations and discreetly exemplified in the result section.

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A Mathematical Model for Total Power Control Loop of Large PHWRs

Cited by 13 publications

References 11 publications

L₁-Adaptive Robust Control Design for a Pressurized Water-Type Nuclear Power Plant

L₁-Adaptive Robust Control Design for a Pressurized Water-Type Nuclear Power Plant

Analysis of Transient Interactions between a PWR Nuclear Power Plant and a Faulted Electricity Grid

LMI Based Robust PID Controller Design for PWR with Bounded Uncertainty using Interval Approach

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