Design of a Neural Super-Twisting Controller to Emulate a Flywheel Energy Storage System

Design of a Neural Super-Twisting Controller to Emulate a Flywheel Energy Storage System

In this work, a neural super-twisting algorithm is applied to the design of a controller for a flywheel energy storage system (FESS) emulator. Emulation of the FESS is achieved through driving a Permanent Magnet Synchronous Machine (PMSM) coupled to a shaft to shaft DC-motor. The emulation of the...

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Bibliografiske detaljer
Andre forfattere:	Magallon, Daniel A., Morfin, Onofre, Castañeda, Carlos Eduardo, Jurado, Francisco
Format:	Artículo
Sprog:	en_US
Udgivet:	2021
Fag:	wavelet neural network; block control form; filtered error algorithm; neural supertwisting control; flywheel energy storage system info:eu-repo/classification/cti/7
Online adgang:	https://doi.org/10.3390/en14196416 https://www.mdpi.com/1996-1073/14/19/6416
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