Internal inductance predictive control for Tokamaks

Garrido, Izaskun; Romero, Jesús; Garrido, Aitor J.; Lucchin, Davide; Carrascal, Edorta; Sevillano, M. Goretti

doi:10.1109/wac.2014.6936072

Cited by 24 publications

(3 citation statements)

References 28 publications

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“…One of the main issues to overcome in the path to commercialization is the instabilities [15][16][17][18][19][20][21][22][23][24]. These instabilities cause disruptions, limiting the maximal achievable time for plasma confinement and making indispensable an optimal control system.…”

Section: System Descriptionmentioning

confidence: 99%

A Variable Structure Control Scheme Proposal for the Tokamak à Configuration Variable

et al. 2019

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Fusion power is the most significant prospects in the long-term future of energy in the sense that it composes a potentially clean, cheap, and unlimited power source that would substitute the widespread traditional nonrenewable energies, reducing the geographical dependence on their sources as well as avoiding collateral environmental impacts. Although the nuclear fusion research started in the earlier part of 20th century and the fusion reactors have been developed since the 1950s, the fusion reaction processes achieved have not yet obtained net power, since the generated plasma requires more energy to achieve and remain in necessary particular pressure and temperature conditions than the produced profitable energy. For this purpose, the plasma has to be confined inside a vacuum vessel, as it is the case of the Tokamak reactor, which consists of a device that generates magnetic fields within a toroidal chamber, being one of the most promising solutions nowadays. However, the Tokamak reactors still have several issues such as the presence of plasma instabilities that provokes a decay of the fusion reaction and, consequently, a reduction in the pulse duration. In this sense, since long pulse reactions are the key to produce net power, the use of robust and fast controllers arises as a useful tool to deal with the unpredictability and the small time constant of the plasma behavior. In this context, this article focuses on the application of robust control laws to improve the controllability of the plasma current, a crucial parameter during the plasma heating and confinement processes. In particular, a variable structure control scheme based on sliding surfaces, namely, a sliding mode controller (SMC) is presented and applied to the plasma current control problem. In order to test the validity and goodness of the proposed controller, its behavior is compared to that of the traditional PID schemes applied in these systems, using the RZIp model for the Tokamak à Configuration Variable (TCV) reactor. The obtained results are very promising, leading to consider this controller as a strong candidate to enhance the performance of the PID-based controllers usually employed in this kind of systems.

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Section: System Descriptionmentioning

confidence: 99%

A Variable Structure Control Scheme Proposal for the Tokamak à Configuration Variable

et al. 2019

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“…The MPC scheme used is shown in Figure 5. The model used for the design of the MPC implementation is based on the previously obtained state-space (15)(16) [27,28]. In order to develop an optimal controller, and given that the state variables are not coupled, the state-space model may be expressed as follows:…”

Section: Controller Descriptionmentioning

confidence: 99%

State-space Coil Modelling in Plasma Magnetic Confinement Devices

Garrido

González

et al. 2017

MATEC Web Conf.

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Abstract. The need of robust and optimal control schemes is a key factor for the development of future fusion reactors. This paper has dealt with the state-space modelling of the Ultra-Low Iota Super Elongated Stellarator of the UPV/EHU, using a physical lumped parameter equivalent circuit approach. The model obtained has been validated by means of experimental output data showing an excellent matching with the real system. Besides, it has been designed a MPC scheme that has been successfully implemented both in simulation and experimentally using a real-time control platform.

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“…The development of a control to improve the energy efficiency in the use of the climate control systems within the required comfort parameters can be considered an active improvement. The Model Predictive Control (MPC) supposes an excellent control option [6][7][8][9][10][11] since it does not only consider the information related to the system at an operation instant, but it also takes into account the predicted future information related to the weather or building use so as to obtain an optimal control action.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Heating System Use in Aged Public Buildings via Model Predictive Control

Carrascal

Garrido

et al. 2016

Energies

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This work presents the implementation of a Model Predictive Control (MPC) scheme used to study the improvement of the thermal quality in aged residential buildings without any rehabilitation. The controller manages the heating system of an experimentally characterized model of a residential dwelling in a social block built during the decade of the 1960s located in the neighborhood of Otxarkoaga (Bilbao, Spain), so as to obtain an optimal energy efficiency performance. Due to the characteristics of the construction in those days, this kind of buildings suffer problems related to the use of awkward building materials and inefficient heating systems. A comparison with traditionally used ON-OFF hysteresis control is presented in order to demonstrate the energetic improvement provided by the MPC scheme. Besides, the variation of different parameters of the MPC is also studied to determine its influence over the energy consumption and comfort conditions.

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Internal inductance predictive control for Tokamaks

Cited by 24 publications

References 28 publications

A Variable Structure Control Scheme Proposal for the Tokamak à Configuration Variable

A Variable Structure Control Scheme Proposal for the Tokamak à Configuration Variable

State-space Coil Modelling in Plasma Magnetic Confinement Devices

Optimization of the Heating System Use in Aged Public Buildings via Model Predictive Control

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