In this thesis, to improve the design of the control system of RE beam on F T U, are proposed three low-order time-invariant dynamical systems of RE beam current, horizontal and vertical position. Data for model identification are collected during the RE plateau phase in which, after the current quench, the major fraction of ohmic current is substituted by runaway current. Here are proposed first-principle equations and gray-box estimation methodology to estimate the unknown models parameters of the runaway current and displacement. Similar identification methodology have been successfully applied in different tokamaks ([6], [7] and [8]) although not in the case of the RE beams. The Part One of this thesis is structured as follows; A preliminary introduction on nuclear fusion theory is exposed in Chapter 2 followed, on Chapter 3 and Chapter 4, are exploited the the plasma magnetic confinement technique and the structure of the tokamak machine. On Chapter 5 are showed how are generate the Runaway Electrons and the technique adopted to mitigate them. Dynamic model of the RE beam current, RE beam Horizontal and vertical Displacement are proposed on Chapter 6. In Chapter 7 the controller design with robust analysis is provided and conclusions are drawn in Chapter 8.1.

Gabrielli, A. (2018). Control system design for biosensing technologies and plasma fusion [10.58015/gabrielli-antonio_phd2018].

Control system design for biosensing technologies and plasma fusion

GABRIELLI, ANTONIO
2018-01-01

Abstract

In this thesis, to improve the design of the control system of RE beam on F T U, are proposed three low-order time-invariant dynamical systems of RE beam current, horizontal and vertical position. Data for model identification are collected during the RE plateau phase in which, after the current quench, the major fraction of ohmic current is substituted by runaway current. Here are proposed first-principle equations and gray-box estimation methodology to estimate the unknown models parameters of the runaway current and displacement. Similar identification methodology have been successfully applied in different tokamaks ([6], [7] and [8]) although not in the case of the RE beams. The Part One of this thesis is structured as follows; A preliminary introduction on nuclear fusion theory is exposed in Chapter 2 followed, on Chapter 3 and Chapter 4, are exploited the the plasma magnetic confinement technique and the structure of the tokamak machine. On Chapter 5 are showed how are generate the Runaway Electrons and the technique adopted to mitigate them. Dynamic model of the RE beam current, RE beam Horizontal and vertical Displacement are proposed on Chapter 6. In Chapter 7 the controller design with robust analysis is provided and conclusions are drawn in Chapter 8.1.
2018
2017/2018
Computer science, control and geoinformation
29.
Settore INFO-01/A - Informatica
English
Tesi di dottorato
Gabrielli, A. (2018). Control system design for biosensing technologies and plasma fusion [10.58015/gabrielli-antonio_phd2018].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/421526
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