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[IEEE 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) - Rio de Janeiro (2018.7.8-2018.7.13)] 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) - Comparison of Three Techniques for Maximum Power Point Tracking of Solar PV
摘要： This paper compares three techniques for maximum power point tracking of a solar PV; namely, Fuzzy logic, perturb and observe (P&O) and increment conductance method (IC). It is shown that the Fuzzy control technique gives a better and more reliable performance than the conventional methods. It can track the maximum power point (MPP) faster and minimize the power oscillations around the MPP. The paper also describes how the P&O algorithm gets lost in tracking the MPP under rapid varying irradiance and how the IC is unstable at low irradiance.
关键词： MPPT,P&O,IC,FUZZY Logic
更新于2025-09-10 09:29:36
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[IEEE 2018 International Russian Automation Conference (RusAutoCon) - Sochi, Russia (2018.9.9-2018.9.16)] 2018 International Russian Automation Conference (RusAutoCon) - System of Stereovision Based on Fuzzy-Logical Method of Constructing Depth Map
摘要： This article considers the distance measurement to objects using video processing to construct a depth map using the modified algorithm of sum of absolute differences (SAD). According to the measured distance to the objects, the required rotation angle of the mobile robot is given to travel around the obstacle. The SAD algorithm is implemented using a fuzzy-logical system with soft arithmetic operations in the structure of fuzzy inference. In the experimental part, a depth map is constructed to measure the distance to the object.
关键词： depth map,stereo image,fuzzy logic,disparity map,sum of absolute differences (SAD)
更新于2025-09-10 09:29:36
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MEDIUM SIZE DUAL-AXIS SOLAR TRACKING SYSTEM WITH SUNLIGHT INTENSITY COMPARISON METHOD AND FUZZY LOGIC IMPLEMENTATION
摘要： Nowadays, renewable energy such as solar power has become important for electricity generation, and solar power systems have been installed in homes. Furthermore, solar tracking systems are being continuously improved by researchers around the world, who focus on achieving the best design and thus maximizing the efficiency of the solar power system. In this project, a fuzzy logic controller has been integrated and implemented in a medium-scale solar tracking system to achieve the best real-time orientation of a solar PV panel toward the sun. This project utilized dual-axis solar tracking with a fuzzy logic intelligent method. The hardware system consists of an Arduino UNO microcontroller as the main controller and Light Dependent Resistor (LDR) sensors for sensing the maximum incident intensity of solar irradiance. Initially, two power window motors (one for the horizontal axis and the other for the vertical axis) coordinate and alternately rotate to scan the position of the sun. Since the sun changes its position all the time, the LDR sensors detect its position at five-minute intervals through the level of incident solar irradiance intensity measured by them. The fuzzy logic controller helps the microcontroller to give the best inference concerning the direction to which the solar PV panel should rotate and the position in which it should stay. In conclusion, the solar tracking system delivers high efficiency of output power with a low power intake while it operates.
关键词： Dual-axis tracker,sunlight intensity comparison method,solar renewable energy,fuzzy logic
更新于2025-09-10 09:29:36
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[IEEE 2018 2nd International Conference on Smart Grid and Smart Cities (ICSGSC) - Kuala Lumpur, Malaysia (2018.8.12-2018.8.14)] 2018 2nd International Conference on Smart Grid and Smart Cities (ICSGSC) - Simulation of Fuzzy Logic Based Energy Management for the Home with Grid Connected PV-Battery System
摘要： This paper presents the energy management for the home with the grid connected PV-battery system. The fuzzy logic controller is employed to control the power flow delivered to the loads. The objective is to minimize the electricity cost by managing the energy penetration from the PV-battery system to the grid. The fuzzy logic controller is developed in distributed scheme where each load has its own controller. The fuzzy rule is designed by considering the availability of PV power, the state of charge of the battery and the total loads power consumption. The simulation results show that the proposed system achieves a cost reduction of 13.9% compared to the system without the fuzzy logic controller.
关键词： PV-battery,fuzzy logic controller,energy management,grid connected
更新于2025-09-10 09:29:36
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[Advances in Intelligent Systems and Computing] Modelling and Simulation in Science, Technology and Engineering Mathematics Volume 749 (Proceedings of the International Conference on Modelling and Simulation (MS-17)) || Modelling of an Optimum Fuzzy Logic Controller Using Genetic Algorithm
摘要： In this paper, an efficient and effective tuning approach-based on Genetic Algorithm (GA) is presented to obtain the optimal Takagi-Sugeno type fuzzy controller parameters to control the liquid level of a tank. The results obtained clearly shows that one can improve the performance of fuzzy controller by optimizing the parameters. Simulation results show clearly that the optimized controller have better performance compared with un-optimised FLC or conventional PID controller. GA could tune up fuzzy controller parameters promptly with uppermost level of accuracy.
关键词： Genetic Algorithm,Liquid Level Control,Takagi-Sugeno,Fuzzy Logic Controller,PID controller
更新于2025-09-09 09:28:46
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Fuzzy Based Network Assignment and Link-Switching Analysis in Hybrid OCC/LiFi System
摘要： In recent times, optical wireless communications (OWC) have become attractive research interest in mobile communication for its inexpensiveness and high-speed data transmission capability and it is already recognized as complementary to radio-frequency (RF) based technologies. Light fidelity (LiFi) and optical camera communication (OCC) are two promising OWC technologies that use a photo detector (PD) and a camera, respectively, to receive optical pulses. These communication systems can be implemented in all kinds of environments using existing light-emitting diode (LED) infrastructures to transmit data. However, both networking layers suffer from several limitations. An excellent solution to overcoming these limitations is the integration of OCC and LiFi. In this paper, we propose a hybrid OCC and LiFi architecture to improve the quality-of-service (QoS) of users. A network assignment mechanism is developed for the hybrid system. A dynamic link-switching technique for efficient handover management between networks is proposed afterward which includes switching provisioning based on user mobility and detailed network switching flow analysis. Fuzzy logic (FL) is used to develop the proposed mechanisms. A time-division multiple access (TDMA) based approach, called round-robin scheduling (RRS), is also adopted to ensure fairness in time resource allocation while serving multiple users using the same LED in the hybrid system. Furthermore, simulation results are presented taking different practical application scenarios into consideration. The performance analysis of the network assignment mechanism, which is provided at the end of the paper, demonstrates the importance and feasibility of the proposed scheme.
关键词： fuzzy logic,network assignment,hybrid system,optical wireless communications,QoS,LiFi,OCC,link-switching
更新于2025-09-04 15:30:14
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[Lecture Notes in Networks and Systems] Renewable Energy for Smart and Sustainable Cities Volume 62 (Artificial Intelligence in Renewable Energetic Systems) || The MPPT Command for a PV System Comparative Study: Fuzzy Control Based on Logic with the Command “P&O”
摘要： The photovoltaic system is able to provide a maximum power to the load to a point of particular operation which is usually called as the maximum point of power (MPP); thus, it is important to use a maximum power point trackers (MPPT) to achieve the photovoltaic maximum power nevertheless the unsteady environmental conditions. The (P&O) algorithm has used to be a classical solution for the purpose of tracking the maximum power, however, there are several drawbacks in this technique such as it causes an oscillation nearby the maximum power point. To overcome the existing problems in the classical method a lot of researches have been done. This article provides an intelligent method to improve and optimize the performance of the maximum power point tracker associated with the PV array with the help of fuzzy logic technology, as well as compare its behavior by report has other techniques (P&O) used in the photovoltaic systems controls. The simulation results are developed under MATLAB/Simulink software. An extensive simulation have been done and compared with the traditional (P&O) technique under various climatic conditions to provide the effectiveness of the proposed controller.
关键词： Fuzzy logic controller (FLC),The PV system,Maximum power point tracking MPPT,Matlab/Simulink,The perturbation and observation (P&O)
更新于2025-09-04 15:30:14