Flexibility control and simulation with multi-model and LQG/LTR design for PWR core load following operation

Li, Gang; Zhao, Fuyu

doi:10.1016/j.anucene.2013.01.035

Cited by 36 publications

(12 citation statements)

References 16 publications

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“…The LQG/LTR design and stability analysis are utilized to design core-power and axial-power control of a PWR by Li et al [39]. The authors further integrated the approach with flexibility control for nonlinear core control at a random power level [40]. Lately, Wan et al [41] proposed an SFAC using a differential lag compensator with the LQG/LTR scheme.…”

Section: Introductionmentioning

confidence: 99%

LQGI/LTR based robust control technique for a pressurized water nuclear power plant

Vajpayee

Becerra

Bausch

et al. 2021

Annals of Nuclear Energy

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Section: Introductionmentioning

confidence: 99%

LQGI/LTR based robust control technique for a pressurized water nuclear power plant

Vajpayee

Becerra

Bausch

et al. 2021

Annals of Nuclear Energy

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“…For instance, Galan et al (2004) investigated the steady-state curve and used experience to divide the operation space of highly nonlinear pH neutralization reactor process. Zarei (2019) and Li and Zhao (2013) used an easy way to locate the operation points in an interval of varied power level so that the distance between two consecutive power level is the same. However, the distance between two consecutive NLLMs is not the same and this results in the redundancy problem of local controllers.…”

Section: Introductionmentioning

confidence: 99%

A systematic decomposition approach of nonlinear systems by combining gap metric and stability margin

Ahmadi

Haeri

2021

Transactions of the Institute of Measurement and Control

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In this paper, in order to control a nonlinear dynamic system via multi-model controller, we propose a systematic approach to determine the nominal local linear models. These models are selected from the local models bank and results in a reduced nominal models set that provides enough information to design a multi-model controller. To determine the initial local models bank, gap metric is used so that the distance between two successive local models is smaller than a threshold value. Then, a systematic approach that aims to get a reduced nominal models bank is developed. Based on this approach, first, a binary gap matrix is defined by combining gap metric and stability information. Then, several rows of this matrix are selected such that the sum of them becomes a non-zero vector. The proposed approach along with a designed robust controller is validated on a pH neutralization regarding to its highly nonlinear behavior.

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“…The decomposition approaches can be classified into traditional and integrated methods. In traditional procedures, at first, nonlinear model of system is divided into several NLMs based on experience, 4,18,19 angle deviation of steady-state gain, 10,20 or gap metric. 11,12 Then, controllers are designed for these NMLs.…”

Section: Introductionmentioning

confidence: 99%

An integrated best–worst decomposition approach of nonlinear systems using gap metric and stability margin

Ahmadi

Haeri

2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article uses gap metric method to design a multi-model controller for nonlinear systems. In order to decompose the nonlinear system into a reduced nominal local models bank as much as possible, and assure the closed-loop robust stability and performance, the decomposition and designing of local controllers are integrated. To this end, robust stability, performance, and gap metric are incorporated to build a binary distance matrix that supports defining the driving and dependence powers for each local model. Then a best–worst analysis is employed considering the driving and dependence powers to find out the nominal local models. The proposed approach screens the value of all local models to choose each nominal local model. As a result, the global multi-model controller has a simple structure and avoids the computational complexity issues. To evaluate the effectiveness of the proposed method, two highly nonlinear systems, pH neutralization and continuous stirred tank reactor process, are simulated.

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Flexibility control and simulation with multi-model and LQG/LTR design for PWR core load following operation

Cited by 36 publications

References 16 publications

LQGI/LTR based robust control technique for a pressurized water nuclear power plant

LQGI/LTR based robust control technique for a pressurized water nuclear power plant

A systematic decomposition approach of nonlinear systems by combining gap metric and stability margin

An integrated best–worst decomposition approach of nonlinear systems using gap metric and stability margin

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