Implementation of Fuzzy Logic Maximum Power Point Tracking Controller for Photovoltaic System
- 1 Centre for Artificial Intelligence and Robotics, Faculty of Electrical Engineering, University Teknologi Malaysia, Kuala Lumpur 54100, Malaysia
- 2 Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
Abstract
In this study, simulation and hardware implementation of Fuzzy Logic (FL) Maximum Power Point Tracking (MPPT) used in photovoltaic system with a direct control method are presented. In this control system, no proportional or integral control loop exists and an adaptive FL controller generates the control signals. The designed and integrated system is a contribution of different aspects which includes simulation, design and programming and experimental setup. The resultant system is capable and satisfactory in terms of fastness and dynamic performance. The results also indicate that the control system works without steady-state error and has the ability of tracking MPPs rapid and accurate which is useful for the sudden changes in the atmospheric condition. MATLAB/Simulink software is utilized for simulation and also programming the TMS320F2812 Digital Signal Processor (DSP). The whole system designed and implemented to hardware was tested successfully on a laboratory PV array. The obtained experimental results show the functionality and feasibility of the proposed controller.
DOI: https://doi.org/10.3844/ajassp.2013.209.218
Copyright: © 2013 Rasoul Rahmani, Mohammadmehdi Seyedmahmoudian, Saad Mekhilef and Rubiyah Yusof. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Buck-Boost Converter
- Fuzzy Logic Controller (FLC)
- Maximum Power Point Tracking (MPPT)
- Photovoltaic (PV)