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Implementation of fuzzy logic maximum power point tracking controller for photovoltaic system

Rahmani, Rasoul, Seyedmahmoudian, Mehdi, Mekhilef, Saad and Yusof, Rubiyah 2013, Implementation of fuzzy logic maximum power point tracking controller for photovoltaic system, American journal of applied sciences, vol. 10, no. 3, pp. 209-218, doi: 10.3844/ajassp.2013.209.218.

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Title Implementation of fuzzy logic maximum power point tracking controller for photovoltaic system
Author(s) Rahmani, Rasoul
Seyedmahmoudian, Mehdi
Mekhilef, Saad
Yusof, Rubiyah
Journal name American journal of applied sciences
Volume number 10
Issue number 3
Start page 209
End page 218
Total pages 10
Publisher Science Publications
Place of publication Vails Gate, N.Y.
Publication date 2013
ISSN 1554-3641
1546-9239
Summary 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.
Language eng
DOI 10.3844/ajassp.2013.209.218
Field of Research 090602 Control Systems, Robotics and Automation
090603 Industrial Electronics
090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2013, Science Publications
Persistent URL http://hdl.handle.net/10536/DRO/DU:30080854

Document type: Journal Article
Collection: School of Engineering
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