Identification and dynamic inversion-based control of a pressurizer at the Paks NPP

Szabó, Zoltán; Szederkényi, Gábor; Gáspár, Péter; Varga, István; Hangos, Katalin M.; Bokor, József

doi:10.1016/j.conengprac.2010.02.009

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…From the control analysis point of view, equilibrium COMs are presented in Szabo et al (2010), Zhang et al (2012) and Sungwhan and Jin (2012) for the study of different control strategies, while nonequilibrium COMs can be found in Kuridan and Beynon (1998) and Botelho et al (2010). In the work of Kuridan and Beynon (1998), a linearized non-equilibrium model with single control volume and two moving boundary regions is developed in order to study the pressurizer dynamics of the Safety Integral Reactor (SIR).…”

Section: State Of the Artmentioning

confidence: 99%

A non-equilibrium control oriented model for the pressurizer dynamics

Pini

Cammi

Colombo

et al. 2018

Progress in Nuclear Energy

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Section: State Of the Artmentioning

confidence: 99%

A non-equilibrium control oriented model for the pressurizer dynamics

Pini

Cammi

Colombo

et al. 2018

Progress in Nuclear Energy

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“…Some approaches deal with special types of nonlinearities such as saturation and dead-zone [29][30][31], piecewise-linear [32][33][34], or discontinuous [35]. The parameter estimation problems are often solved using the key term separation principle [36][37][38] and generalized or control oriented approaches are considered in [39,40]. Techniques based on nonuniform sampling or oversampling are presented in [41,42] and nonparametric or combined parametric-nonparametric identification is presented in [43,44].…”

Section: Cascade System With Input Hysteresismentioning

confidence: 99%

Modeling and Identification of Discrete-Time Nonlinear Dynamic Cascade Systems with Input Hysteresis

Vörös

2015

Mathematical Problems in Engineering

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A simple approach to modeling and identification of discrete-time nonlinear dynamic systems having an input hysteresis in cascade with a linear dynamic system is presented. A special form of Coleman-Hodgdon model for the hysteresis is considered, which is linear in parameters. For the cascade system parameter estimation, an iterative method with internal variable estimation is proposed. Simulation studies of cascade systems identification using special periodic inputs are included.

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Adaptive control and signal processing literature survey (No. 19)

2010

Adaptive Control & Signal

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In order to keep readers up-to-date, the journal will contain a list of recently published journal articles relevant to the fields of adaptive control and signal processing six times a year. This list is compiled from a wide range of journals. Please note that even though the list has been broadly categorized these classifications are by no means strict, and are there to assist the reader. Please also note that inclusion in the list is not an endorsement of a paper's quality. If you have any suggestions or comments, please e-mail Erfu Yang at erfu.yang@eee.strath.ac.uk ADAPTIVE SYSTEMSAhn H-S, Chen Y. Periodic adaptive learning compensation of state-dependent disturbance. IET Control Theory and Applications 2010; 4(4):529-538. Angelov P, Kordon A. Adaptive inferential sensors based on evolving fuzzy models. IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetic 2010; 40(2):529-539. Bechlioulis C, Rovithakis G. Prescribed performance adaptive control for multi-input multi-output affine in the control nonlinear systems. IEEE Transactions on Automatic Control 2010; 55(5):1220-1226. Bekiaris-Liberis N, Krstic M. Delay-adaptive feedback for linear feedforward systems. Systems and Control Letters 2010; 59(5):277-283. Chen M, Ge S, How B. Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities. IEEE Transactions on Neural Networks 2010; 21(5):796-812. Choi K, Yoo S, Park J, Choi Y. Adaptive formation control in absence of leader's velocity information. IET Control Theory and Applications 2010; 4(4):521-528. Fuentes D, Feng Y, Elliott A, Shetty A, McNichols R, Oden J, Stafford R. Adaptive real-time bioheat transfer models for computer-driven MR-guided laser induced thermal therapy. IEEE Transactions on Biomedical Engineering 2010; 57(5):1024-1030. Hu C, Yao B, Wang Q. Integrated direct/indirect adaptive robust contouring control of a biaxial gantry with accurate parameter estimations. Automatica 2010; 46(4):701-707. Jiménez-Fabián R, Alvarez-Icaza L. An adaptive observer for a shear building with an energy-dissipation device. Control Engineering Practice 2010; 18(4):331-338. Kaylani A, Georgiopoulos M, Mollaghasemi M, Anagnostopoulos G, Sentelle C, Zhong M. An adaptive multiobjective approach to evolving ART architectures. IEEE Transactions on Neural Networks 2010; 21(4):529-550. Lin W, Ma H. Synchronization between adaptively coupled systems with discrete and distributed time-delays. IEEE Transactions on Automatic Control 2010; 55(4): 819-830. Ma L, Cao C, Hovakimyan N, Dobrokhodov V, Kaminer I. Adaptive vision-based guidance law with guaranteed performance bounds. Journal of Guidance, Control, and Dynamics 2010; 33(3):834-852. Olm J, Ramos G, Costa-Castelló R. Adaptive compensation strategy for the tracking/rejection of signals with time-varying frequency in digital repetitive control systems. Journal of Process Control 2010; 20(4):551-558. Peng S, Hwang W-L. Null space pursuit: an operator-based approach to adaptive signal separation. IEEE Transact...

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Identification and dynamic inversion-based control of a pressurizer at the Paks NPP

Cited by 7 publications

References 26 publications

A non-equilibrium control oriented model for the pressurizer dynamics

A non-equilibrium control oriented model for the pressurizer dynamics

Modeling and Identification of Discrete-Time Nonlinear Dynamic Cascade Systems with Input Hysteresis

Adaptive control and signal processing literature survey (No. 19)

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