Smart monitoring system based on adaptive current control for superconductingcable test

A smart monitoring system for superconducting cable test is proposed with an adaptive currentcontrol of asuperconductingtransformer secondary. The design, based on Fuzzy Gain Scheduling, allows thecontrollerparameters to adapt continuously, and finely, to the working variations arising fromtransformer nonlineardynamics. The control system is integrated in a fully digital control loop, with all therelated benefits, i.e., high noise rejection, ease of implementation/modification, and soon. In particular, an accurate model of the system,controlled by aFuzzy Gain Scheduler of the superconducting transformer, was achieved by an experimental campaignthrough the working domain at several current ramp rates. The model performance wascharacterized by simulation, under all the main operating conditions, in order to guidethe controllerdesign. Finally, the proposed monitoring system was experimentally validated at EuropeanOrganization for Nuclear Research (CERN) in comparison to the state-of-the-artcontrol system[P. Arpaia, L. Bottura, G. Montenero, and S. LeNaour, “Performance improvement of a measurement station forsuperconductingcable test,” Rev. Sci. Instrum.83, 095111 (2012)] of theFacility for the Research on Superconducting Cables, achieving a significant performanceimprovement: a reduction in the system overshoot by 50%, with a related attenuationof the corresponding dynamic residual error (both absolute and RMS) up to 52%.