The Experts below are selected from a list of 159 Experts worldwide ranked by ideXlab platform
Imam Abadi - One of the best experts on this subject based on the ideXlab platform.
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implementation of maximum power point Tracking mppt technique on Solar Tracking System based on adaptive neuro fuzzy inference System anfis
E3S Web of Conferences, 2018Co-Authors: Imam Abadi, Choirul Imron, Ronny Dwi NoriyatiAbstract:Characteristic I-V of photovoltaic is depended on Solar irradiation and operating temperature. Solar irradiation particularly affects the output current where the increasing Solar irradiation will tend to increase the output current. Meanwhile, the operating temperature of photovoltaic module affects the output voltage where increasing temperature will reduce the output voltage. There is a point on the I-V curve where photovoltaic modules produce maximum possible output power that is called Maximum Power Point (MPP). A technique to track MPP on the I-V curve is known as Maximum Power Point Tracking (MPPT). In this study, the MPPT has been successfully designed based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and integrated with Solar Tracking System to improve the conversion efficiency of photovoltaic modules. The designed ANFIS MPPT System consists of current and voltage sensors, buck-boost converter, and Arduino MEGA 2560 microcontroller as a controller. Varying amounts of lamp with 12V 10W rating arranged in series is used as load. Solar Tracking System that is equipped with MPPT ANFIS able to increase the output power of photovoltaic modules by 46.198% relative to the fixed System when 3 lamps is used as load.
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design and implementation of active two axes Solar Tracking System using particle swarm optimization based fuzzy logic controller
International Review on Modelling and Simulations, 2015Co-Authors: Imam Abadi, Ali Musyafa, Adi SoeprijantoAbstract:This paper presents the design and execution of an active two axes Solar tracker with fuzzy controller based on PSO. The proposed System uses the light sensors to detect the position of the sun. The output of the sensors are used as the control inputs in moving the PV panel according to the sun’s position. Two PSO based fuzzy controllers were designed and implemented to the Solar tracker in which PSO was used to tune the parameters of fuzzy logic controller to obtain better performance. The conventional fuzzy controllers were also applied to the System to measure the improvement that might be achieved by the proposed method. Before the System is implemented into the real plant, it must be first modeled using MATLAB/ simulink for simulation purpose. Therefore, the performance of the controllers and power gain of PV panel are then observed, investigated and analized in this work. The results show that there are some agreements of both experiment and simulation.
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design of single axis Solar Tracking System at photovoltaic panel using fuzzy logic controller
5th Brunei International Conference on Engineering and Technology (BICET 2014), 2014Co-Authors: Imam Abadi, Adi Soeprijanto, Ali MusyafaAbstract:This paper concerns the design and realization of a Solar Tracking System oriented to the PV conversion panels. In general, the electricity generated by the PV panels is influenced by the intensity of Solar radiation and ambient temperature. They will generate maximum electrical power when the intensity of Solar radiation received is also maximum, therefore the PV must be controlled so that its position is always perpendicular to the sun. The proposed single axis Solar Tracking System offers optimal energy conversion process of Solar energy into electricity through appropriately orienting the PV panel in accordance with the real position of the sun. The mechanism of the experiment is based on a DC motor which is intelligently controlled by fuzzy logic controller that moves prototype according to the inputs received from LDR sensors. The performance of the Solar Tracking System is experimentally investigated. The designed System has power gain of 47% compared to the fixed System.
Ali Musyafa - One of the best experts on this subject based on the ideXlab platform.
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design and implementation of active two axes Solar Tracking System using particle swarm optimization based fuzzy logic controller
International Review on Modelling and Simulations, 2015Co-Authors: Imam Abadi, Ali Musyafa, Adi SoeprijantoAbstract:This paper presents the design and execution of an active two axes Solar tracker with fuzzy controller based on PSO. The proposed System uses the light sensors to detect the position of the sun. The output of the sensors are used as the control inputs in moving the PV panel according to the sun’s position. Two PSO based fuzzy controllers were designed and implemented to the Solar tracker in which PSO was used to tune the parameters of fuzzy logic controller to obtain better performance. The conventional fuzzy controllers were also applied to the System to measure the improvement that might be achieved by the proposed method. Before the System is implemented into the real plant, it must be first modeled using MATLAB/ simulink for simulation purpose. Therefore, the performance of the controllers and power gain of PV panel are then observed, investigated and analized in this work. The results show that there are some agreements of both experiment and simulation.
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design of single axis Solar Tracking System at photovoltaic panel using fuzzy logic controller
5th Brunei International Conference on Engineering and Technology (BICET 2014), 2014Co-Authors: Imam Abadi, Adi Soeprijanto, Ali MusyafaAbstract:This paper concerns the design and realization of a Solar Tracking System oriented to the PV conversion panels. In general, the electricity generated by the PV panels is influenced by the intensity of Solar radiation and ambient temperature. They will generate maximum electrical power when the intensity of Solar radiation received is also maximum, therefore the PV must be controlled so that its position is always perpendicular to the sun. The proposed single axis Solar Tracking System offers optimal energy conversion process of Solar energy into electricity through appropriately orienting the PV panel in accordance with the real position of the sun. The mechanism of the experiment is based on a DC motor which is intelligently controlled by fuzzy logic controller that moves prototype according to the inputs received from LDR sensors. The performance of the Solar Tracking System is experimentally investigated. The designed System has power gain of 47% compared to the fixed System.
Ariffuddin Joret - One of the best experts on this subject based on the ideXlab platform.
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a design of low power single axis Solar Tracking System regardless of motor speed
International Journal of Integrated Engineering, 2011Co-Authors: Asmarashid Ponniran, Ammar Hashim, Ariffuddin JoretAbstract:Solar power generation had been used as a renewable energy since years ago. Residential that uses Solar power as their alternative power supply will bring benefits to them. The main objective of this paper is to present development of an automatic Solar Tracking System whereby the System will caused Solar panels will keep aligned with the Sunlight in order to maximize in harvesting Solar power. The System focuses on the controller design whereby it will caused the System is able to tracks the maximum intensity of Sunlight is hit. When the intensity of Sunlight is decreasing, this System automatically changes its direction to get maximum intensity of Sunlight. LDR light detector acts as a sensor is used to trace the coordinate of the Sunlight by detecting brightness level of Sunlight. While to rotate the appropriate position of the panel, a DC-geared motor is used. The System is controlled by two relays as a DC-geared motor driver and a microcontroller as a main processor. This project is covered for a single axis and is designed for low power and residential usage applications. From the hardware testing, the System is able to track and follow the Sunlight intensity in order to get maximum Solar power at the output regardless motor speed.
Guoshiang Wang - One of the best experts on this subject based on the ideXlab platform.
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design and implementation of the dual axis Solar Tracking System
Computer Software and Applications Conference, 2013Co-Authors: Tungsheng Zha, Minghuang Tsai, Guoshiang WangAbstract:The capability of photovoltaic (PV) panel to generate energy approximately follows the intensity of the sunlight on the panel. A dual-axis Solar programmable logical controller (PLC) based automatic Tracking System and its supervisory and control System was designed and implemented in this paper. The proposed automatic Tracking System controls elevation and orientation angles of Solar panels such that the panels always maintain perpendicular to the sunlight. The measured variables of our automatic Solar Tracking System were compared with those of a fixed-angle PV System. The results indicated that the automatic Solar Tracking System is low-cost, reliable and efficient. As a result of the experiment, the electricity generated by the proposed Tracking System has an overall increase of about 8%~25% more than the fix-angle PV System.
Adi Soeprijanto - One of the best experts on this subject based on the ideXlab platform.
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design and implementation of active two axes Solar Tracking System using particle swarm optimization based fuzzy logic controller
International Review on Modelling and Simulations, 2015Co-Authors: Imam Abadi, Ali Musyafa, Adi SoeprijantoAbstract:This paper presents the design and execution of an active two axes Solar tracker with fuzzy controller based on PSO. The proposed System uses the light sensors to detect the position of the sun. The output of the sensors are used as the control inputs in moving the PV panel according to the sun’s position. Two PSO based fuzzy controllers were designed and implemented to the Solar tracker in which PSO was used to tune the parameters of fuzzy logic controller to obtain better performance. The conventional fuzzy controllers were also applied to the System to measure the improvement that might be achieved by the proposed method. Before the System is implemented into the real plant, it must be first modeled using MATLAB/ simulink for simulation purpose. Therefore, the performance of the controllers and power gain of PV panel are then observed, investigated and analized in this work. The results show that there are some agreements of both experiment and simulation.
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design of single axis Solar Tracking System at photovoltaic panel using fuzzy logic controller
5th Brunei International Conference on Engineering and Technology (BICET 2014), 2014Co-Authors: Imam Abadi, Adi Soeprijanto, Ali MusyafaAbstract:This paper concerns the design and realization of a Solar Tracking System oriented to the PV conversion panels. In general, the electricity generated by the PV panels is influenced by the intensity of Solar radiation and ambient temperature. They will generate maximum electrical power when the intensity of Solar radiation received is also maximum, therefore the PV must be controlled so that its position is always perpendicular to the sun. The proposed single axis Solar Tracking System offers optimal energy conversion process of Solar energy into electricity through appropriately orienting the PV panel in accordance with the real position of the sun. The mechanism of the experiment is based on a DC motor which is intelligently controlled by fuzzy logic controller that moves prototype according to the inputs received from LDR sensors. The performance of the Solar Tracking System is experimentally investigated. The designed System has power gain of 47% compared to the fixed System.
