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Plasma stabilization based on model predictive control. / Sotnikova, M.

In: International Journal of Modern Physics A, Vol. 24, No. 5, 2009, p. 999-1008.

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Sotnikova, M 2009, 'Plasma stabilization based on model predictive control', International Journal of Modern Physics A, vol. 24, no. 5, pp. 999-1008. https://doi.org/DOI: 10.1142/S0217751X09044450

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Author

Sotnikova, M. / Plasma stabilization based on model predictive control. In: International Journal of Modern Physics A. 2009 ; Vol. 24, No. 5. pp. 999-1008.

BibTeX

@article{79ae347ee1b54541ac035997d060615f,
title = "Plasma stabilization based on model predictive control",
abstract = "The nonlinear model predictive control algorithms for plasma current and shape stabilization are proposed. Such algorithms are quite suitable for the situations when the plant to be controlled has essentially nonlinear dynamics. Besides that, predictive model based control algorithms allow to take into account a lot of requirements and constraints involved both on the controlled and manipulated variables. The significant drawback of the algorithms is that they require a lot of time to compute control input at each sampling instant. In this paper the model predictive control algorithms are demonstrated by the example of plasma vertical stabilization for ITER-FEAT tokamak. The tuning of parameters of algorithms is performed in order to decrease computational load.",
keywords = "Model predictive control, plasma vertical stabilization",
author = "M. Sotnikova",
year = "2009",
doi = "DOI: 10.1142/S0217751X09044450",
language = "English",
volume = "24",
pages = "999--1008",
journal = "International Journal of Modern Physics A",
issn = "0217-751X",
publisher = "WORLD SCIENTIFIC PUBL CO PTE LTD",
number = "5",

}

RIS

TY - JOUR

T1 - Plasma stabilization based on model predictive control

AU - Sotnikova, M.

PY - 2009

Y1 - 2009

N2 - The nonlinear model predictive control algorithms for plasma current and shape stabilization are proposed. Such algorithms are quite suitable for the situations when the plant to be controlled has essentially nonlinear dynamics. Besides that, predictive model based control algorithms allow to take into account a lot of requirements and constraints involved both on the controlled and manipulated variables. The significant drawback of the algorithms is that they require a lot of time to compute control input at each sampling instant. In this paper the model predictive control algorithms are demonstrated by the example of plasma vertical stabilization for ITER-FEAT tokamak. The tuning of parameters of algorithms is performed in order to decrease computational load.

AB - The nonlinear model predictive control algorithms for plasma current and shape stabilization are proposed. Such algorithms are quite suitable for the situations when the plant to be controlled has essentially nonlinear dynamics. Besides that, predictive model based control algorithms allow to take into account a lot of requirements and constraints involved both on the controlled and manipulated variables. The significant drawback of the algorithms is that they require a lot of time to compute control input at each sampling instant. In this paper the model predictive control algorithms are demonstrated by the example of plasma vertical stabilization for ITER-FEAT tokamak. The tuning of parameters of algorithms is performed in order to decrease computational load.

KW - Model predictive control

KW - plasma vertical stabilization

U2 - DOI: 10.1142/S0217751X09044450

DO - DOI: 10.1142/S0217751X09044450

M3 - Article

VL - 24

SP - 999

EP - 1008

JO - International Journal of Modern Physics A

JF - International Journal of Modern Physics A

SN - 0217-751X

IS - 5

ER -

ID: 5035153