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

Abstract

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.

A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems

“…The structure and parameters of IT3-FLSsf 1 andf 2 are illustrated in the previous section. From (21) and (22), the dynamics ofỹ 1 = y 1 −ŷ 1 andỹ 2 = y 2 −ŷ 2 are:…”

“…Considering (28) and (22), the dynamics of e 1 and e 2 can be written as:ė 1 = −λ 1 e 1 + s pċ e 2 = −λ 2 e 2 + s bc (29) To stability analysis, consider a Lyapunov function as:…”

“…Similar to [20], in [21], an FLS based controller is presented for the energy storage system such that the stability of the PV system to be ensured. A fractionalorder fuzzy control approach is developed in [22], for both power and voltage management. In [23], a supervisor system is designed by the use of FLSs to construct a power balance between various energy generators such as wind, PV, and diesel systems.…”

Development of a Fuzzy Inference Based Solar Energy Controller for Smart Marine Water Monitoring

“…For future works, authors have left the issues of stability. Padmanaban et al (2019) have used a hybrid ANFIS-ABC swarm intelligent control for power point tracking in the photovoltaic (PV) system with grid integration, Mosavi et al (2020) -Type-3 fuzzy system for energy/voltage management in PV/battery systems. González-Reolid et al (2018) have proposed BUSCAMOS-RobObs for water quality monitoring in lakes and shallow coastal waters.…”

Low-Cost Implementation of Passivity-Based Control and Estimation of Load Torque for a Luo Converter with Dynamic Load

“…Due to this, PBC finds applications in microgrids [8,9], inverters [10], wind power systems [11], HVDC [12], power converter-based applications [13][14][15][16][17][18][19][20][21][22], robotics [23][24][25], MEMS [26], ball and beam dynamical systems [27] and photovoltaic systems [28].…”