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Model-free adaptive fractional order control of stable linear time-varying systems.
Yakoub, Z; Amairi, M; Chetoui, M; Saidi, B; Aoun, M.
Afiliação
  • Yakoub Z; University of Gabes, National Engineering School of Gabes, Tunisia Research Laboratory Modeling, Analysis and Control of Systems (MACS-LR16ES22), Tunisia. Electronic address: yakoubzaineb@yahoo.fr.
  • Amairi M; University of Gabes, National Engineering School of Gabes, Tunisia Research Laboratory Modeling, Analysis and Control of Systems (MACS-LR16ES22), Tunisia. Electronic address: amairi.messaoud@ieee.org.
  • Chetoui M; University of Gabes, National Engineering School of Gabes, Tunisia Research Laboratory Modeling, Analysis and Control of Systems (MACS-LR16ES22), Tunisia. Electronic address: chetoui.manel@gmail.com.
  • Saidi B; University of Gabes, National Engineering School of Gabes, Tunisia Research Laboratory Modeling, Analysis and Control of Systems (MACS-LR16ES22), Tunisia. Electronic address: saidibchira@gmail.com.
  • Aoun M; University of Gabes, National Engineering School of Gabes, Tunisia Research Laboratory Modeling, Analysis and Control of Systems (MACS-LR16ES22), Tunisia. Electronic address: mohamed.aoun@gmail.com.
ISA Trans ; 67: 193-207, 2017 Mar.
Article em En | MEDLINE | ID: mdl-28143655
This paper presents a new model-free adaptive fractional order control approach for linear time-varying systems. An online algorithm is proposed to determine some frequency characteristics using a selective filtering and to design a fractional PID controller based on the numerical optimization of the frequency-domain criterion. When the system parameters are time-varying, the controller is updated to keep the same desired performances. The main advantage of the proposed approach is that the controller design depends only on the measured input and output signals of the process. The effectiveness of the proposed method is assessed through a numerical example.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article