Dissipation-Based High Gain Filter for Monitoring Nuclear Reactors

Dong, Zhe; Feng, Junting; Huang, Xiaojin; Liangju, Zhang

doi:10.1109/tns.2009.2034743

Cited by 28 publications

(13 citation statements)

References 34 publications

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“…The IDA-PLC is composed of a nonlinear state-feedback power-level regulator and a state observer. The regulator is realized by adding damping terms iteratively through state-feedback, and the observer just adopts the well-built dissipation based high-gain filter (DHGF) [24,25]. The IDA-PLC is an L 2 disturbance attenuator when there exist exterior disturbances or modeling uncertainties, and it guarantees the globally asymptotic closed-loop stability if there is no disturbance and uncertainty.…”

Section: Open Accessmentioning

confidence: 99%

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Dynamic Output Feedback Power-Level Control for the MHTGR Based On Iterative Damping Assignment

Dong

2012

Energies

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Because of its strong inherent safety features and high outlet temperature, the modular high temperature gas-cooled nuclear reactor (MHTGR) is already seen as the central part of the next generation of nuclear plants. Such power plants are being considered for industrial applications with a wide range of power levels, and thus power-level control is an important technique for their efficient and stable operation. Stimulated by the high regulation performance provided by nonlinear controllers, a novel dynamic output-feedback nonlinear power-level regulator is developed in this paper based on the technique of iterative damping assignment (IDA). This control strategy can provide the L 2 disturbance attenuation performance under modeling uncertainty or exterior disturbance, and can also guarantee the globally asymptotic closed-loop stability without uncertainty and disturbance. This newly built control strategy is then applied to the power-level regulation of the HTR-PM plant, and numerical simulation results show both the feasibility and high performance of this newly-built control strategy. Furthermore, the relationship between the values of the parameters and the performance of this controller is not only illustrated numerically but also analyzed theoretically.

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Section: Open Accessmentioning

confidence: 99%

“…Lemma 1 [24,25]: Consider nonlinear system Equation (67) with State-observer Equation (68), and here suppose that:…”

Section: Observation Strategymentioning

confidence: 99%

Dynamic Output Feedback Power-Level Control for the MHTGR Based On Iterative Damping Assignment

Dong

2012

Energies

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“…Shtessel [11] gave a nonlinear power-level regulator based on sliding mode control and observation techniques for the space reactor TOPAZ II. Dong [12] designed a dynamic output feedback dissipation power-level control for pressurized water reactors (PWRs) by using the techniques of backstepping [13] and a dissipation-based high gain filter (DHGF) [14,15]. However, the above nonlinear controllers are too complex to be implemented practically.…”

Section: Introductionmentioning

confidence: 99%

An Artificial Neural Network Compensated Output Feedback Power-Level Control for Modular High Temperature Gas-Cooled Reactors

Dong

2014

Energies

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Small modular reactors (SMRs) could be beneficial in providing electricity power safely and also be viable for applications such as seawater desalination and heat production. Due to its inherent safety features, the modular high temperature gas-cooled reactor (MHTGR) has been seen as one of the best candidates for building SMR-based nuclear power plants. Since the MHTGR dynamics display high nonlinearity and parameter uncertainty, it is necessary to develop a nonlinear adaptive power-level control law which is not only beneficial to the safe, stable, efficient and autonomous operation of the MHTGR, but also easy to implement practically. In this paper, based on the concept of shifted-ectropy and the physically-based control design approach, it is proved theoretically that the simple proportional-differential (PD) output-feedback power-level control can provide asymptotic closed-loop stability. Then, based on the strong approximation capability of the multi-layer perceptron (MLP) artificial neural network (ANN), a compensator is established to suppress the negative influence caused by system parameter uncertainty. It is also proved that the MLP-compensated PD power-level control law constituted by an experientially-tuned PD regulator and this MLP-based compensator can guarantee bounded closed-loop stability. Numerical simulation results not only verify the theoretical results, but also illustrate the high performance of this MLP-compensated PD power-level controller in suppressing the oscillation of process variables caused by system parameter uncertainty.

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“…Shtessel gave a nonlinear power-level regulator based on sliding mode control and observation tech-niques for space reactor TOPAZ II [5]. Dong designed a dynamic output feedback dissipation power-level control for the pressurized water reactors (PWRs) [6] by the use of the backstepping technique [7] and dissipation-based high gain filter (DHGF) [8,9]. Etchepareborda and Eliasi proposed the nonlinear MPC (NMPC) method for PWR power-level control design [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

PD Power-Level Control Design for MHTGRs

Dong¹

2014

JPEE

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Due to its inherent safety feature, the modular high temperature gas-cooled reactor (MHTGR) has been seen as one of the best candidates in building next generation nuclear plants (NGNPs). Since the MHTGR dynamics has high nonlinearity, it is necessary to develop nonlinear power-level controller which is not only beneficial to the safe, stable, efficient and autonomous operation of the MHTGR but also easy to be implemented practically. In this paper, based on the concept of shiftedectropy and the physically-based control design approach, it is proved theoretically that the simple proportional-differential (PD) output-feedback power-level control can provide globally asymptotic closed-loop stability. Numerical simulation results verify the theoretical results and show the influence of the controller parameters to the dynamic response.

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Dissipation-Based High Gain Filter for Monitoring Nuclear Reactors

Cited by 28 publications

References 34 publications

Dynamic Output Feedback Power-Level Control for the MHTGR Based On Iterative Damping Assignment

Dynamic Output Feedback Power-Level Control for the MHTGR Based On Iterative Damping Assignment

An Artificial Neural Network Compensated Output Feedback Power-Level Control for Modular High Temperature Gas-Cooled Reactors

PD Power-Level Control Design for MHTGRs

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