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Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation
摘要： Photovoltaic (PV) system is one of the reliable alternative sources of energy and its contribution in energy sector is growing rapidly. The performance of PV system depends upon the solar insolation, which will be varying throughout the day, season and year. The biggest challenge is to obtain the maximum power from PV array at varying insolation levels. The maximum power point tracking (MPPT) controller, in association with tracking algorithm will act as a principal element in driving the PV system at maximum power point (MPP). In this paper, the simulation model has been developed and the results were compared for perturb and observe, incremental conductance, extremum seeking control and fuzzy logic controller based MPPT algorithms at different irradiation levels on a 10.2 kW PV array. The results obtained were analysed in terms of convergence rate and their efficiency to track the MPP.
关键词： perturb and observe,fuzzy logic controller,scalar gradient extremum seeking control,Photovoltaic system,incremental conductance,MPPT algorithms
更新于2025-09-23 15:23:52
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AIP Conference Proceedings [Author(s) EMERGING TRENDS IN MATHEMATICAL SCIENCES AND ITS APPLICATIONS: Proceedings of the 3rd International Conference on Recent Advances in Mathematical Sciences and its Applications (RAMSA-2019) - Noida, India (17–19 January 2019)] - Modeling and fuzzy logic control of photovoltaic-fuel cell-battery hybrid vehicle
摘要： In this paper, modelling of hybrid photovoltaic fuel cell and battery included vehicle were done apart from designing of fuzzy logic controller for the above system. Here, photovoltaic (PV) generator and proton exchange membrane fuel cell (PEMFC) were connected in parallel that is further connected to the battery (which is used as an energy reservoir). Modelling was done using Simulink? software; and different models of PV, PEMFC and battery had been done using the defining equation available in the literature. A rule-based fuzzy logic controller was modelled in the Simulink? software. Finally, using different parameters; simulation of the complete system had been done and results were analysed.
关键词： Fuzzy Logic Controller,Hybrid Vehicle,PEMFC
更新于2025-09-23 15:23:52
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An intelligent adjustable spanner for automated engagement with multi-diameter bolts/nuts during tightening/loosening process using vision system and fuzzy logic
摘要： The paper presents the development of a novel automated engagement intelligent spanner that is capable of autonomously changing its jaws’ size according to the diameters of the bolt’s/nut’s heads. It is a complete innovative system that involves the utilization of the vision system and fuzzy logic to make decisions about the diameter of head of bolt/nut. Image processing techniques has been implemented to extract the features of the bolts/nut, such as borders, non-borders area, outer diameter, and inner diameter of the head of the bolt/nut. It can be generally divided into three different stages, namely image pre-processing, image processing, and image post-processing. In image pre-processing stage, the image is prepared by applying some operations, such as acquiring streaming video, image cropping, gray-scale transformation, and background separation. Many filters and functions are applied in the image processing stage to efficiently get a clear border for the bolt/nut. In image post-processing, the necessary calculations are applied to get the diameter of the desired bolt, which involves the use of Hough Transformer and fitting circles searching process. The fuzzy logic-based decision-making algorithm is applied to the images resulting from the post-processing stage in order to do a final decision on the diameter of the bolt/nut and approximate it to the nearest standards diameter. Three bolts sizes are used in the experiments, namely M4, M4 with dust; M5; and M6 which are tested with 80 samples (20 for each). The results show the capability of image processing and fuzzy logic algorithms in making the right decisions on the diameter of bolts/nuts with 99% successful rate.
关键词： Vision system,Decision-making,Intelligent spanner,Image processing,Fuzzy logic
更新于2025-09-23 15:22:29
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Analysis of power efficient compressor with fuzzy logic MPPT-based PV/FC system
摘要： In this paper, a hybrid photovoltaic (PV)/fuel cell (FC) power generation system is considered, where the hydrogen generated by the electrolysis process is used for subsequent FC operation. A novel induction motor-based compressor is proposed to boost up the pressure of hydrogen, and hence to improve the performance of the FC system. A fuzzy logic-based maximum power point tracking (MPPT) system is designed for the considered PV system. Finally, a coordinated control scheme is applied for controlling the power supplied to the load by integrating both the sources. The complete model is realised in the MATLAB/Simulink environment. Extensive simulation studies are conducted to verify the developed model. The performance of the complete system is found satisfactory under different conditions.
关键词： electrolyzer system,coordinated control,fuzzy logic-based MPPT,hydrogen generation,solar PV system
更新于2025-09-23 15:22:29
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[IEEE 2019 24th Microoptics Conference (MOC) - Toyama, Japan (2019.11.17-2019.11.20)] 2019 24th Microoptics Conference (MOC) - Patterned emission of organic light emitting diodes with laser irradiation
摘要： Self-healing networks aim to detect cells with service degradation, identify the fault cause of their problem, and execute compensation and repair actions. The development of this type of automatic system presents several challenges to be confronted. The first challenge is the scarce number of historically reported faults, which greatly complicates the evaluation of novel self-healing techniques. For this reason, in this paper, a system model to simulate faults in Long-Term Evolution (LTE) networks, along with their most significant key performance indicators, is proposed. Second, the expert knowledge required to build a self-healing system is usually not documented. Therefore, in this paper, a methodology to extract this information from a collection of reported cases is proposed. Finally, following the proposed methodology, an automatic fuzzy-logic-based system for fault identification in LTE networks is designed. Evaluation results show that the fuzzy system provides fault identification with a high success rate.
关键词： Long-Term Evolution (LTE),Diagnosis,fuzzy logic,fault identification,troubleshooting,root cause analysis,self-healing,fault management
更新于2025-09-23 15:21:01
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Comparative Analysis of Intelligent Controller Based MPPT for Photovoltaic System with Super Lift Boost Converter
摘要： In recent years, the electrical energy demand increases gradually and the power generation does not meet the demand due to lack of fossil fuel and environmental issues. The only solution is to use renewable energy sources for generating electricity and meet the consumers demand. In this paper, photovoltaic power system analyses their performance under various weather conditions. The objective of this paper is comparing the different intelligent controllers such as Fuzzy, ANFIS and Hybrid Fuzzy & Firefly Algorithm (HFFA) for Maximum Power Point Tracking (MPPT) of 100 Watts PV system using a Super Lift Boost Converter (SLBC). The proposed intelligent controller is designed and simulated in MATLAB environment under various weather conditions. The simulation results have been analyzed and the performance of the proposed model evaluated with changing irradiation conditions. Finally, the performance of Hybrid Fuzzy and firefly based MPPT has been suggested as the optimum controller for the photovoltaic system.
关键词： photovoltaic,ANFIS,Fuzzy Logic,MPPT,MATLAB,HFFA,super-lift boost converter
更新于2025-09-23 15:21:01
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Fuzzy decision-making in laser-assisted joining of polymer-metal hybrid structures
摘要： A fuzzy decision-making approach was developed to optimize laser-assisted joining process of polymer-metal hybrid structures. A systematic approach based on Design of Experiment was adopted to identify and explain the effect of each process parameter, i.e. laser energy and laser power, on the response variables, i.e. maximum operating temperature and shear strength. Then, a combined fuzzy-genetic algorithm model was developed to find the best input parameters’ combination capable to satisfy the requirement of the best processing performances, in terms of appropriate range of operating temperature and highest shear strength. The use of genetic algorithms involved the choice of the best nominal regression model and the optimisation of the fuzzy numbers. This enabled to account most of the experimental data in combination with the smallest uncertainty level. Experimental results showed the success of the joining process ensuring sufficient adhesion of the hybrid structure over time, with shear strength of almost 29 MPa by using a laser power of 150 W and energy of 2 kJ. Moreover, the fuzzy process maps enable the selection of the process parameters with the aim of achieving desired process output along with the lowest uncertainty level. In addition, it also provides the amount of uncertainty of the model. The results indicated that a low laser energy level of 2250 J and a laser power in the range 120–140 W would provide the optimal solution in terms of operating temperature (i.e. between 343 and 520 °C), shear strength (i.e. greater than 26 MPa) and uncertainty level (i.e. membership level greater than 0.9).
关键词： Hybrid joints,Decision-making,Laser-assisted joining,Fuzzy logic
更新于2025-09-23 15:21:01
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Comparison of Performance Measures for PV based Super-Lift Luo-Converter using Hybrid Controller with Conventional Controller
摘要： The paper presents design and analyze of PV based Super-lift Luo converter with different controllers in the modern technology of DC-DC converter. The Luo converter provides output voltage which is positive from positive source voltage. By using this converter power density obtained is high with less ripple content in voltage and current profile. It is proven from the Mathematical modeling that the output voltage increases in geometric progression, thereby efficiency of the converter increases. The controller parameters in PI controller are tuned using Ziegler Nichols tuning algorithm. The paper proposes a design of hybrid controller which gives good transient performance compared with conventional PI controller. Using Simulink the proposed converter with its control circuit is implemented. The main advantage of this proposed converter based on photo voltaic system is that it produces voltages increasing in geometric progression. The converter has proved to be robustness around the operating point. In various operating condition, the dynamic performance with input voltage variations and load fluctuation is good. The simulation performance closely coincides with the theoretical analysis. The settling time and overshoot obtained using hybrid controller is compared with fuzzy controller and conventional controller and it is proven that hybrid controller has good dynamic performance. The real time implementation with solar PV cell is also carried out. The converter finds wide application in switch mode power supply and speed control of DC motors.
关键词： Photo Voltaic (PV) Cells,Fuzzy Logic Controller,PI Controller,Peak Overshoot,Super Lift Converter,Settling Time
更新于2025-09-23 15:21:01
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[Advances in Intelligent Systems and Computing] Applications of Artificial Intelligence Techniques in Engineering Volume 698 (SIGMA 2018, Volume 1) || Predictive Control of Energy Management System for Fuel Cell Assisted Photo Voltaic Hybrid Power System
摘要： Distributed generation systems also known as hybrid power systems which involve renewable energy sources are extensively used due to their ef?ciency and green interface. Considering the varying environmental conditions, these systems are prone to many disadvantages and limitations. In order to overcome these constraints, intelligent techniques which can achieve steady process and power balance are to be implemented. This paper provides an intelligent control using fuzzy inference system and energy management algorithm for Fuel cell assisted PV Battery system. The supervisory control was implemented to achieve utmost feasible ef?- ciency despite varying conditions such as irradiance and Hydrogen levels. With Lev- elized cost being adapted, an ef?cient energy management system attributes for even power distribution throughout the day can be implemented. Our thought process was demonstrated, and ?nal software interface was simulated using MATLAB/Simulink to obtain results which con?rm the effectiveness of the developed system.
关键词： MPPT,Inference systems,Fuzzy logic controller,Energy management,Fuel cell,PVFC hybrid system
更新于2025-09-23 15:21:01
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Dynamic global maximum power point tracking of the PV systems under variant partial shading using hybrid GWO-FLC
摘要： Maximum power point tracker (MPPT) techniques have been used to extract the maximum power available form photovoltaic (PV) energy systems. Conventional MPPT techniques like perturb and observe (P&O), hill climbing (HC), incremental conductance etc. were good enough to track the maximum power for the unshaded PV systems because it has only one power peak in the P-V curve. In the case of partial shading conditions (PSC), many peaks are created; one global maximum power point (GMPP) and many local maximum power points (LMPPs). Most of conventional MPPT techniques may stick to one of the LMPPs, which reduce the MPPT efficiency of PV systems. Soft computing techniques like particle swarm optimization (PSO), gray wolf optimization (GWO), and Cuckoo search optimization (CSO) etc. can catch the GMPP of PV system under the same PSC. These latter techniques suffer from two problems, the first problem is the high oscillations around the GMPP, the second problem is that, they cannot follow the new GMPP once it changed its position due to the searching agents will be busy around old GMPP caught. The solution of these two problems are the motivation of this research. GWO has been used to catch the GMPP and the problem of oscillations around the GMPP has been solved by hybridizing this technique with fuzzy logic controller (FLC) for soft tune the output generated power at the GMPP. The FLC characterizes by accurate GMPP catching with almost zero oscillations. The second problem is solved in this paper by re-initializing the GWO with two new initialization techniques. The results obtained from GWO-FLC with two different re-initialization techniques have been compared to the results of PSO without reinitializing its particles. The results obtained from this work prove the superior performance of the new proposed technique in terms of dynamic GMPP catching and MPPT power efficiency in case of time variant PSCs.
关键词： Global maximum power point,Fuzzy logic controller,MPPT energy efficiency,Partial shading condition,Particle swarm optimization,Grey wolf optimization
更新于2025-09-23 15:21:01