The Maximum Power Point Tracking Using Fuzzy Logic Algorithm for DC Motor Based Conveyor System

2017 ◽  
pp. 115-138
Author(s):  
Chitra Venugopal ◽  
Prabhakar Rontala Subramaniam
Keyword(s):  
Fuzzy Logic ◽  
Maximum Power Point Tracking ◽  
Dc Motor ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Conveyor System ◽  
Fuzzy Logic Algorithm ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MPPT) for PV Application

2018 ◽  
Vol 8 (3) ◽  
pp. 1315 ◽  
Author(s):  
Ahmad Saudi Samosir ◽  
Herri Gusmedi ◽  
Sri Purwiyanti ◽  
Endah Komalasari
Keyword(s):  
Fuzzy Logic ◽  
Modeling And Simulation ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Fuzzy Logic Algorithm ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power.  The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system.

scholarly journals Fuzzy logic-based maximum power point tracking solar battery charge controller with backup stand-by AC generator

2019 ◽  
Vol 16 (1) ◽  
pp. 136 ◽  
Author(s):  
Gilfred Allen Madrigal ◽  
Kristin Gail Cuevas ◽  
Vivien Hora ◽  
Kristine Mae Jimenez ◽  
John Niño Manato ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Fuzzy Logic Algorithm ◽  
Battery Charge ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Solar Battery ◽  
Power Point

<span>This paper presents a Fuzzy-based Maximum Power Point Tracking Solar Battery Charge Controller with backup stand-by AC generator. This study is developed to provide a maximum power point tracking battery charge controller using fuzzy logic algorithm for isolated areas that uses solar panels and AC generators. Fuzzy Logic Toolbox in MATLAB and Arduino IDE were used in implementing fuzzy logic algorithm. Fuzzy logic is a mathematical system where something can be represented in continuous values between 0 and 1. It basically represents systems based on human reasoning. The hardware comprises of four components – the switched mode power supply, the source switching circuit, buck-boost converter and the diversion load controller. The pre-testing conducted based on the methodology indicates that the proposed charge controller is efficient in maximizing the input power that enters the charge controller under different conditions. The current efficiency rate of the charge controller is 96.02%. The average battery charging time for a fully-discharged 12V Lead-Acid Battery using AC source, DC source and both AC and DC sources are 2 hours and 30 minutes, 8 hours and 15 minutes and 5 hours and 30 minutes, respectively, while discharging took 3 hours and 40 minutes with two 30-watt floodlight load.</span>

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