Robust Sliding Mode Control for Tokamaks

Nuclear fusion has arisen as an alternative energy to avoid carbon dioxide emissions, being the tokamak a promising nuclear fusion reactor that uses a magnetic field to confine plasma in the shape of a torus. However, different kinds of magnetohydrodynamic instabilities may affect tokamak plasma equilibrium, causing severe reduction of particle confinement and leading to plasma disruptions. In this sense, numerous efforts and resources have been devoted to seeking solutions for the different plasma control problems so as to avoid energy confinement time decrements in these devices. In particular, since the growth rate of the vertical instability increases with the internal inductance, lowering the internal inductance is a fundamental issue to address for the elongated plasmas employed within the advanced tokamaks currently under development. In this sense, this paper introduces a lumped parameter numerical model of the tokamak in order to design a novel robust sliding mode controller for the internal inductance using the transformer primary coil as actuator.

Control of gene expression by modulated self-assembly

Numerous transcription factors self-assemble into different order oligomeric species in a way that is actively regulated by the cell. Until now, no general functional role has been identified for this widespread process. Here, we capture the effects of modulated self-assembly in gene expression with a novel quantitative framework. We show that this mechanism provides precision and flexibility, two seemingly antagonistic properties, to the sensing of diverse cellular signals by systems that share common elements present in transcription factors like p53, NF-kappa B, STATs, Oct and RXR. Applied to the nuclear hormone receptor RXR, this framework accurately reproduces a broad range of classical, previously unexplained, sets of gene expression data and corroborates the existence of a precise functional regime with flexible properties that can be controlled both at a genome-wide scale and at the individual promoter level.

Modelado y control de estación de célula de manipulación

[ES]El objetivo de este proyecto es el diseño e implementación del modelo de la estación FMS 201 (alimentación de la base) y el diseño e implementación del control de la estación. Esta estación pertenece a la serie FMS 200 (sistema didáctico modular de ensamblaje flexible) distribuido por la empresa SMC. Se dispone uno en el laboratorio de investigación del departamento de Ingeniería de Sistemas y Automática de la Escuela Superior de Ingeniería de Bilbao (EHU/UPV). Para el desarrollo e implementación del modelo se usará la herramienta informática Automation Studio. Para el control del modelo se usará el PLC. Para el intercambio de información entre modelo y controlador se utilizará la comunicación OPC Para el control de la estación se usa un PLC S7-300 de la marca SIEMENS. Se finaliza el documento realizando las pruebas de validación del modelo desarrollado, ejecutándose el programa de control en el PLC y corriendo el modelo desarrollado en el PC.

Analysis and control of transient spectra using time-dependent density functional theory.

215 p.

Metodología de selección y dimensionado de un SSSC para el control del flujo de potencia en la red eléctrica de transporte

147 p. El contenido del capítulo 6 está sujeto a confidencialidad.