A smart current control system for enhancing performance of a superconducting cable test station is proposed. According to the Fuzzy Gain Scheduling logic, the controller parameters are modulated by the working conditions. An improved flexibility for the definition of the set point is achieved. The system effectiveness has been proved through several simulations and demonstrated experimentally on the Facility for Research on Superconducting Cables at European Organization for Nuclear Research (CERN).

A smart current control for superconducting cable test

Maisto Domenico;
2013

Abstract

A smart current control system for enhancing performance of a superconducting cable test station is proposed. According to the Fuzzy Gain Scheduling logic, the controller parameters are modulated by the working conditions. An improved flexibility for the definition of the set point is achieved. The system effectiveness has been proved through several simulations and demonstrated experimentally on the Facility for Research on Superconducting Cables at European Organization for Nuclear Research (CERN).
2013
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
9781629931890
Artificial Intelligence
Optimization Methods
Maintenance
Scheduling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/261112
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