A Novel Deep Learning Backstepping Controller-Based Digital Twins Technology for Pitch Angle Control of Variable Speed Wind Turbine

This paper proposes a deep deterministic policy gradient (DDPG) based nonlinear integral backstepping (NIB) in combination with model free control (MFC) for pitch angle control of variable speed wind turbine. In particular, the controller has been presented as a digital twin (DT) concept, which is a...

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Autors principals:	Ahmad Parvaresh, Saber Abrazeh, Saeid-Reza Mohseni, Meisam Jahanshahi Zeitouni, Meysam Gheisarnejad, Mohammad-Hassan Khooban
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-06-01
Col·lecció:	Designs
Matèries:	pitch angle control DDPG algorithm backstepping controller digital twin (DT) DSP software-in-loop
Accés en línia:	https://www.mdpi.com/2411-9660/4/2/15
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