| Project Title | FPGA Implementation of Fuzzy Controllers for Maximum Power Point Tracking of Photovoltaic System |
| Project PI | Dr .Sawsan Morkos |
| Project Abstract | The growing interest in the development of renewable energies is caused by several elements: climate change, increasing energy demand, limits of fossil fuel reserves, low global efficiency of the energy system and energy dependence, especially in the case of Egypt. Egypt is a one of the tropical country which is located entirely on the Africa. The solar insolation received by Egypt is not utilized effectively until now. To obtain such maximum power from photovoltaic panels, photovoltaic power system usually requires maximum power point tracking controller (MPPT), in order to make such system profitable. In the present project, we want to focus our attention on the intelligent control for condition monitoring of a PV system. In accordance with the need to maximize the energy output of PV systems, the project aim to build a prototype system that utilizes Fuzzy Logic to optimize maximum power point tracking (MPPT) for a photovoltaic system. The controller will be implemented using Field Programmable Gate Array (FPGA) which depends on parallel programming. This method has many advantages over classical microprocessors. In this proposal, a novel fuzzy controller, which is fabricated on modern FPGA card (Spartan-3A, Xilinx Company, is proposed to implement a prototype of a MPPT algorithm for photovoltaic plate. The expected project impacts are: |
| Project Objectives | The energy output of PV systems, the project has two main objectives:
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| Project Deliverables | Prototype of FLC controller for MPPT of PV system in which the controller is designed and implemented by both of FPGA and Arduino microcontroller. The performance of designed controller by Arduino microcontroller is tested with the design of DC/DC boost converter and circuit of current sensors and two resistances for simulating the PV panel with power supply. The DC-DC boost converter is designed and synthesized with fuzzy logic controller to implement the tracking. The functionality of the tracker was successfully proven. The designed circuits of the boost converter, controller and PV simulator are tested with inputs equal to 45 volt from two power supply in lab and the output is used to drive a 3phase motor. |
| Project Beneficaries | This fuzzy logic controller for PV is appropriate for a variety of applications that require adaptive performance, including university PV researcher, commercial companies, and government entities. There are three major beneficiaries:
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