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[IEEE 2018 International Conference on Electrical Engineering and Informatics (ICELTICs) - Banda Aceh (2018.9.19-2018.9.20)] 2018 International Conference on Electrical Engineering and Informatics (ICELTICs)(44501) - Performance Comparison Between PID and Fuzzy Algorithm for Sun Tracker Based on Tetrahedron Geometry Sensor
摘要： The amount of solar energy could be acquired optimally by proper tracking of sun movement in a sun tracker. A sun tracker is a device which tracks the sun as it moves on its path through the sky during the day, exposing the solar cells to an increased amount of sunlight and hence producing more electricity. In this paper, we compare the performance and optimization of two types of sun tracker based on tetrahedron geometry using PID and Fuzzy logic algorithm. These two sun trackers are built identically and experimental data acquisition of servo movement and load of solar cell performed side by side. PID and fuzzy logic algorithm are used to control the servo movement of the dual-axis sun tracker. We record the load received by solar cell which attached to both sun tracker and compare the result. The study shows that fuzzy logic algorithm controller performs better than PID controller which can be seen from the amount of load received by solar cell.
关键词： sun tracker,solar cell,PID,fuzzy algorithm,data logging
更新于2025-09-23 15:23:52
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Knowledge-Based Sensors for Controlling A High-Concentration Photovoltaic Tracker
摘要： To reduce the cost of generated electrical energy, high-concentration photovoltaic systems have been proposed to reduce the amount of semiconductor material needed by concentrating sunlight using lenses and mirrors. Due to the concentration of energy, the use of tracker or pointing systems is necessary in order to obtain the desired amount of electrical energy. However, a high degree of inaccuracy and imprecision is observed in the real installation of concentration photovoltaic systems. The main objective of this work is to design a knowledge-based controller for a high-concentration photovoltaic system (HCPV) tracker. The methodology proposed consists of using fuzzy rule-based systems (FRBS) and to implement the controller in a real system by means of Internet of Things (IoT) technologies. FRBS have demonstrated correct adaptation to problems having a high degree of inaccuracy and uncertainty, and IoT technology allows use of constrained resource devices, cloud computer architecture, and a platform to store and monitor the data obtained. As a result, two knowledge-based controllers are presented in this paper: the first based on a pointing device and the second based on the measure of the electrical current generated, which showed the best performance in the experiments carried out. New factors that increase imprecision and uncertainty in HCPV solar tracker installations are presented in the experiments carried out in the real installation.
关键词： sun tracker,high-concentration photovoltaic systems,knowledge-based sensor,Internet of Things
更新于2025-09-16 10:30:52
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[IEEE 2018 International Conference on Smart City and Emerging Technology (ICSCET) - Mumbai (2018.1.5-2018.1.5)] 2018 International Conference on Smart City and Emerging Technology (ICSCET) - A review of Adaptive solar tracking for performance enhancement of solar power plant
摘要： The increase in world energy demand has made renewable energy sources one of the best options in the world. Renewable energy resources will be an important part of power generation in the future. Use of solar energy reduces emission of greenhouse gases. Solar energy is completely free of cost and widely available. Solar energy generation is largely dependent on the intensity of solar radiation. The changing position of sun causes to have different sun intensity in different seasons as well as different times of the year. Therefore, by using solar tracking devices solar energy generation can be increased than the conventional system. Sun trackers can increase the collected energy between 10% to 100% based on geographical conditions. This paper studies the zenith and azimuth angles required for the position of the sun in the sky. This paper studies two types of solar tracking systems such as single axis and double axis tracking systems. Based on the study it is found that overall efficiency of the system can be increased with the help of mechatronics devices such as sensors, motor, microcontroller and battery and above mentioned two solar tracking systems. This paper studies that in forecast, cloudy conditions and high latitude conditions use of conventional solar system is more beneficial than the tracking system.
关键词： Single axis and Double Axis Sun Tracker Systems,Adaptive Solar Tracking,Azimuth and Zenith Angles
更新于2025-09-04 15:30:14