Low Effort L-i Nuclear Fusion Plasma Control Using Model Predictive Control Laws


Autoria(s): Garrido Hernández, Izaskun; Garrido Hernández, Aitor Josu; Romero, Jesús A.; Carrascal Lecumberri, Edorta; Sevillano Berasategui, María Goretti; Barambones Caramazana, Oscar
Data(s)

10/05/2016

10/05/2016

2015

Resumo

One of the main problems of fusion energy is to achieve longer pulse duration by avoiding the premature reaction decay due to plasma instabilities. The control of the plasma inductance arises as an essential tool for the successful operation of tokamak fusion reactors in order to overcome stability issues as well as the new challenges specific to advanced scenarios operation. In this sense, given that advanced tokamaks will suffer from limited power available from noninductive current drive actuators, the transformer primary coil could assist in reducing the power requirements of the noninductive current drive sources needed for current profile control. Therefore, tokamak operation may benefit from advanced control laws beyond the traditionally used PID schemes by reducing instabilities while guaranteeing the tokamak integrity. In this paper, a novel model predictive control (MPC) scheme has been developed and successfully employed to optimize both current and internal inductance of the plasma, which influences the L-H transition timing, the density peaking, and pedestal pressure. Results show that the internal inductance and current profiles can be adequately controlled while maintaining the minimal control action required in tokamak operation.

Identificador

Mathematical Problems in Engineering 2015 : (2015) // Article ID 527420

1024-123X

1563-5147

http://hdl.handle.net/10810/18208

10.1155/2015/527420

Idioma(s)

eng

Publicador

Hindawi Publishing

Relação

http://www.hindawi.com/journals/mpe/2015/527420/abs/

Direitos

© 2015 Izaskun Garrido et al.This is an open access article distributed under theCreativeCommonsAttribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

info:eu-repo/semantics/openAccess

Palavras-Chave #astra-matlab integration #neural-control #tokamaks #generator #systems #proile #plants
Tipo

info:eu-repo/semantics/article