Dynamic model for control system design and simulation of a low temperature nuclear reactor

Feng

Huang

et al. 2010

IEEE Trans. Nucl. Sci.

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Growing electricity requirement and the serious pollution caused by burning petroleum and coal give the current rebirth of nuclear energy industry. State observation is one of the key and basic technologies of system monitoring which is very necessary to the safe and effective operation of today's nuclear reactors. Since nuclear reactors are complex and nonlinear systems, it is quite necessary to design a nonlinear state-observer with high-performance for nuclear reactors. A dissipation-based high gain filter (DHGF) is presented for nonlinear systems in this paper, and robustness analysis is also given. The DHGF is then applied to the state-observation for a nuclear heating reactor (NHR), and simulation results show the feasibility of the DHGF.

“…2. Detailed relationship between the power level and other process variables is a topic of reactor dynamics, which was narrated in [26], and is omitted here.…”

Section: E Discussionmentioning

confidence: 99%

Section: B Robustness Analysis Of the Dhgfmentioning

confidence: 99%

Dissipation-Based High Gain Filter for Monitoring Nuclear Reactors

Feng

Huang

et al. 2010

IEEE Trans. Nucl. Sci.

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“…The simulation model of the NHR is composed of the point kinetics model with six delayed neutron groups and lumped dynamic model of the reactor thermal-hydraulics, primary heat exchanger, U-tube steam generator (UTSG), feedwater pump of the UTSG and necessary pipe or volume cells [33]. The parameters of the NHR at the middle of the fuel cycle in 100% power-level are shown in Table 1.…”

Section: Description Of the Numerical Simulationmentioning

confidence: 99%

A Neural-Network-Based Nonlinear Adaptive State-Observer for Pressurized Water Reactors

2013

Energies

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Abstract:Although there have been some severe nuclear accidents such as Three Mile Island (USA), Chernobyl (Ukraine) and Fukushima (Japan), nuclear fission energy is still a source of clean energy that can substitute for fossil fuels in a centralized way and in a great amount with commercial availability and economic competitiveness. Since the pressurized water reactor (PWR) is the most widely used nuclear fission reactor, its safe, stable and efficient operation is meaningful to the current rebirth of the nuclear fission energy industry. Power-level regulation is an important technique which can deeply affect the operation stability and efficiency of PWRs. Compared with the classical power-level controllers, the advanced power-level regulators could strengthen both the closed-loop stability and control performance by feeding back the internal state-variables. However, not all of the internal state variables of a PWR can be obtained directly by measurements. To implement advanced PWR power-level control law, it is necessary to develop a state-observer to reconstruct the unmeasurable state-variables. Since a PWR is naturally a complex nonlinear system with parameters varying with power-level, fuel burnup, xenon isotope production, control rod worth and etc., it is meaningful to design a nonlinear observer for the PWR with adaptability to system uncertainties. Due to this and the strong learning capability of the multi-layer perceptron (MLP) neural network, an MLP-based nonlinear adaptive observer is given for PWRs. Based upon Lyapunov stability theory, it is proved theoretically that this newly-built observer can provide bounded and convergent state-observation. This observer is then applied to the state-observation of a special PWR, i.e., the nuclear heating reactor (NHR), and numerical simulation results not only verify its feasibility but also give the relationship between the observation performance and observer parameters. OPEN ACCESSEnergies 2013, 6 5383

“…Fazekas et al proposed a simple dynamic model for the primary circuit in VVER plants for controller design purposes [16]. Dong et al presented a lumped parameter dynamic model for control design and verification for the NSSS of the nuclear heating reactors (NHRs) [17]. With comparison to the abundant results in reactor power-level regulation such as the linear control, nonlinear control, and intelligent method [18][19][20], there are still less results in the field of entire nuclear plant control.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Control Characteristics of the Two-Modular HTR-PM Nuclear Plant

Science and Technology of Nuclear Installations

Pan

Song

et al. 2017

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The modular high temperature gas-cooled reactor (MHTGR) is a typical small modular reactor (SMR) with inherent safety feature. Due to its high reactor outlet coolant temperature, the MHTGR can be applied not only for electricity production but also as a heat source for industrial complexes. Through multimodular scheme, that is, the superheated steam flows produced by multiple MHTGR-based nuclear supplying system (NSSS) modules combined together to drive a common thermal load, the inherent safety feature of MHTGR is applicable to large-scale nuclear plants at any desired power ratings. Since the plant power control technique of traditional single-modular nuclear plants cannot be directly applied to the multimodular plants, it is necessary to develop the power control method of multimodular plants, where dynamical modeling, control design, and performance verification are three main aspects of developing plant control method. In this paper, the study in the power control for two-modular HTR-PM plant is summarized, and the verification results based on numerical simulation are given. The simulation results in the cases of plant power step and ramp show that the plant control characteristics are satisfactory.