Fractional-Order Fuzzy Control Approach for Photovoltaic/Battery Systems under Unknown Dynamics, Variable Irradiation and Temperature

  • For this paper, the problem of energy/voltage management in photovoltaic (PV)/battery systems was studied, and a new fractional-order control system on basis of type-3 (T3) fuzzy logic systems (FLSs) was developed. New fractional-order learning rules are derived for tuning of T3-FLSs such that the stability is ensured. In addition, using fractional-order calculus, the robustness was studied versusFor this paper, the problem of energy/voltage management in photovoltaic (PV)/battery systems was studied, and a new fractional-order control system on basis of type-3 (T3) fuzzy logic systems (FLSs) was developed. New fractional-order learning rules are derived for tuning of T3-FLSs such that the stability is ensured. In addition, using fractional-order calculus, the robustness was studied versus dynamic uncertainties, perturbation of irradiation, and temperature and abruptly faults in output loads, and, subsequently, new compensators were proposed. In several examinations under difficult operation conditions, such as random temperature, variable irradiation, and abrupt changes in output load, the capability of the schemed controller was verified. In addition, in comparison with other methods, such as proportional-derivative-integral (PID), sliding mode controller (SMC), passivity-based control systems (PBC), and linear quadratic regulator (LQR), the superiority of the suggested method was demonstrated.show moreshow less

Download full text files

  • Gefördert durch das Programm Open Access Publizieren der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Document Type:Article
Author: Amirhosein MosaviORCiD, Sultan Noman QasemORCiD, Manouchehr ShokriORCiD, Shahab S. BandORCiD, Ardashir MohammadzadehORCiD
DOI (Cite-Link):https://doi.org/10.3390/electronics9091455Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20210122-43381Cite-Link
URL:https://www.mdpi.com/2079-9292/9/9/1455
Parent Title (English):Electronics
Publisher:MDPI
Place of publication:Basel
Language:English
Date of Publication (online):2021/01/20
Date of first Publication:2020/09/06
Release Date:2021/01/22
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Bauingenieurwesen / Institut für Strukturmechanik
Volume:2020
Issue:Volume 9, issue 9, article 1455
Pagenumber:19
First Page:1
Last Page:19
Tag:battery; fractional-order control; photovoltaic; type-3 fuzzy systems
GND Keyword:Fuzzy-Logik; Fotovoltaik
Dewey Decimal Classification:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme
BKL-Classification:52 Maschinenbau, Energietechnik, Fertigungstechnik / 52.00 Maschinenbau, Energietechnik, Fertigungstechnik: Allgemeines
Open Access Publikationsfonds:Open-Access-Publikationsfonds 2020
Licence (German):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)