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

• Main Authors: Amirhosein Mosavi, Sultan Noman Qasem, Manouchehr Shokri, Shahab S, Ardashir Mohammadzadeh
• Format: Article
• Language: English
• Published: MDPI AG 2020-09-01
• Series: Electronics
• Subjects: type-3 fuzzy systems; fractional-order control; learning algorithm; battery; photovoltaic system; stability
• Online Access: https://www.mdpi.com/2079-9292/9/9/1455

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 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.