Low EffortLiNuclear Fusion Plasma Control Using Model Predictive Control Laws

Autor: J.A. Romero, Goretti Sevillano-Berasategui, Edorta Carrascal, Izaskun Garrido, Oscar Barambones, Aitor J. Garrido
Rok vydání: 2015
Předmět:
Zdroj: Mathematical Problems in Engineering. 2015:1-8
ISSN: 1563-5147
1024-123X
DOI: 10.1155/2015/527420
Popis: 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.
Databáze: OpenAIRE
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