FPGA Implementation of a Robust MPPT of a Photovoltaic System Using a Fuzzy Logic Controller Based on Incremental and Conductance Algorithm

Abstract

Climate dependence requires robust control of the photovoltaic system. The current paper is divided in two main sections: the first part is dedicated to compare and evaluate the behaviors of three different maximum power point tracking (MPPT) techniques applied to photovoltaic energy systems, which are: incremental and conductance (IC), perturb and observe (P&O) and fuzzy logic controller (FLC) based on incremental and conductance. A model of a photovoltaic generator and DC/DC buck converter with different MPPT techniques is simulated and compared using Matlab/Simulink software. The comparison results show that the fuzzy controller is more effective in terms of response time, power loss and disturbances around the operating point. IC and P&O methods are effective but sensitive to high-frequency noise, less stable and present more oscillations around the PPM. In the second section, the FPGA platform is used to implement the proposed control. The FLC architecture is implemented on an FPGA Spartan 3E using the ISE Design Suite software. Simulation results showed the effectiveness of the proposed fuzzy logic controller.

Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation

“…To train the ANFIS network, 54 datasets of irradiation Ec, temperature Ta, flow rate Q, and frequency fs were measured with the help of a FPGA board [23], on July 2020, as shown in Figures 13 and 14: In order to simulate the intelligent ANFIS controller, it is helpful to:…”

Backstepping Terminal Sliding Mode MPPT Controller for Photovoltaic Systems

“…To seek the MPP voltage V ref , we use an incremental conductance method [1,15]. The power slope pv pv dP dV can be expressed as: , the PV system operates at maximum power generation.…”

“…The power slope pv pv dP dV can be expressed as: , the PV system operates at maximum power generation. Therefore, the update law for V ref is given by the following rules [1,15]:…”

“…Load mismatch can occur under these weather varying conditions and maximum power may not be extracted and delivered to the load. This issue constitutes the so-called Maximum Power Point Tracking (MPPT) problem [1][2][3][4]. Many methods have been developed to determine the Maximum Power Point (MPP) under varying conditions [5][6][7].…”

“…Many methods have been developed to determine the Maximum Power Point (MPP) under varying conditions [5][6][7]. Some of them are based on the well-known principle of perturb and observe (P&O) [8], others are based on sliding mode control [9][10][11][12], on artificial neural networks, or on fuzzy logic algorithms [1,2,7]. In [12][13][14], Maximum Power Voltage (MPV) based approaches are developed using a two-loop MPPT control scheme.…”