Comparative design of fuzzy logic controller for photovoltaic panel maximum power point tracking

The highly effectiveness of Fuzzy Logic Controlling FLC method is clearly demonstrating and proved in literature confirming FLC priority in Maximum Power Point Tracking MPPT application. Based on this fact, this paper focuses on study and analyzes the effect of input and output variables' membership modifications on the quality of FLC performance. To demonstrate this effect, the other related parameters such as fuzzy inference rules, and the x-axis divisions and limits of the memberships all are kept constant. MATLAB/Simulink software is adopted to do the simulation and to control the duty cycle D and consequently to control the pulse width modulation gate drive pulses width of Buck-Boost DC-DC converter. From the collected results, it is found that the delivered load powers are different between the two cases of different membership shapes to confirm and indicate the positive effect of the proposed modifications in the second membership shape.

[1]  Mukesh Kumar,et al.  Comparison between IC and Fuzzy Logic MPPT Algorithm Based Solar PV System using Boost Converter , 2015 .

[2]  Beza Negash Getu,et al.  Design and Simulation of a High Performance Standalone Photovoltaic System , 2014 .

[3]  M A Hannan,et al.  Maximum power point tracking in grid connected PV system using a novel fuzzy logic controller , 2009, 2009 IEEE Student Conference on Research and Development (SCOReD).

[4]  Frede Blaabjerg,et al.  Low voltage ride-through of single-phase transformerless photovoltaic inverters , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[5]  Andres Barrado,et al.  Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems , 2006 .

[6]  H. Attia,et al.  Design and Simulation of a Solar Tracking System for Optimum Energy Absorption , 2014 .

[7]  Hussain A. Attia,et al.  Design and analysis for high performance synchronized inverter with PWM power control , 2013, 2013 IEEE Conference on Clean Energy and Technology (CEAT).

[8]  Marcello Chiaberge,et al.  An intelligent control strategy of fractional short circuit current maximum power point tracking technique for photovoltaic applications , 2015 .

[9]  T. C. Kuo,et al.  The Design and Implementation of a Solar Tracking Generating Power System , 2009 .

[10]  M. Nasir Uddin,et al.  Fuzzy-Logic-Controller-Based SEPIC Converter for Maximum Power Point Tracking , 2012, IEEE Transactions on Industry Applications.

[11]  Yousif I. Al-Mashhadany,et al.  Novel Design and Implementation of Portable Charger through Low-Power PV Energy System , 2014 .

[12]  Somyot Kaitwanidvilai,et al.  Maximum Power Point Tracking using Fuzzy Logic Control for Photovoltaic Systems , 2011 .

[13]  Wooi Ping Hew,et al.  Confined Band Variable Switching Frequency Pulse Width Modulation (CB-VSF PWM) for a Single-Phase Inverter With an LCL Filter , 2017, IEEE Transactions on Power Electronics.

[14]  Hussain A. Attia,et al.  Novel Discrete Components based Speed Controller for Induction Motor , 2016 .

[15]  B N Alajmi,et al.  Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System , 2011, IEEE Transactions on Power Electronics.

[16]  Yousif I. Al-Mashhadany,et al.  High Performance for Real Portable Charger through Low-Power PV System , 2014 .

[17]  Hussain A. Attia,et al.  Pulse Width Modulation Based Decentralized Street LED Light Dimming System , 2017 .

[18]  eeecegc Design and Simulation of Dual Axis Solar Tracker for Optimum Solar Energy Absorption , 2016 .

[19]  Maen Takruri,et al.  Design of decentralized street LED light dimming system , 2016, 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA).

[20]  Tilak Thakur,et al.  Data based MPPT technique for photovoltaic system , 2011, 2011 Annual IEEE India Conference.

[21]  Nasrudin Abd Rahim,et al.  Fuzzy Logic Control Approach of a Maximum Power Point Employing SEPIC Converter for Standalone Photovoltaic System , 2013 .

[22]  Rubiyah Yusof,et al.  Implementation of Fuzzy Logic Maximum Power Point Tracking Controller for Photovoltaic System , 2013 .

[23]  Witold Maranda,et al.  Calculation of dynamic MPP-tracking efficiency of PV-inverter using recorded irradiance , 2013, Proceedings of the 20th International Conference Mixed Design of Integrated Circuits and Systems - MIXDES 2013.