- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Performance Evaluation of Image Enhancement Techniques
摘要： Color Image enhancement is a process in which the perceptual information of an image is improved to obtain more information and details contained in the image. It improves the subjective quality of an image by working with original data. This paper focuses on evaluating the performance of various image enhancement techniques. These techniques are either based on histogram modification or are based on fuzzy logic. The techniques are compared using two quantitative measures namely; Contrast Improvement index (CII) and Tenengrad measure. The results have shown that Lab and edge preservation based fuzzy image enhancement (LEFM) yields the best results.
关键词： edge preserving smoothing,Lab color space,fuzzy logic,Color image,Histogram equalization
更新于2025-09-23 15:21:01
-
Fuzzy logic application in the evaluation of performance of a prototype vehicle powered from solar energy and water electrolysis process
摘要： The purpose of this paper is to evaluate the performance of a prototype vehicle that uses a reversible fuel cell capable of producing and storing hydrogen and oxygen by breaking the water molecule - the electrolysis process, made possible with the use of solar panels. The vehicle shown only uses two main sources of energy: solar and hydrogen cells, both clean and renewable energy sources. Water is the only residue generated. The Fuzzy Logic was used in the establishment of linguistic variables and on the composition of inference rules based on power, solar panel area and solar irradiation. The Fuzzy Logic provides a method of translating verbal, vague, imprecise and qualitative expressions, common in human communication in numeric values. This enables the conversion of the human experience in a way understandable by computers. Thus, the technology made possible by the fuzzy approach has a practical value. In view of the severe environmental degradation in which the planet is going through and the scarcity of energy sources, especially fossil fuels, one of the great challenges of the scientific community is to develop new technologies that use clean and renewable energy sources, that are economically viable and promote sustainable technologies and processes.
关键词： Renewable Energy,Fuzzy Logic,Automobile Industry,Sustainability
更新于2025-09-23 15:21:01
-
Comparison of Different Electric Vehicle Integration Approaches in Presence of Photovoltaic and Superconducting Magnetic Energy Storage Systems
摘要： The impacts of electric vehicles on the electrical power network in the presence of renewable energy sources and energy storage systems is a field to be studied in depth. Especially because in recent years the installation of electric vehicles has increased considerably in order to reduce the emission of CO2 and fossil fuel consumption to reach environmental cleanliness. This paper presents a comparison between the different integration methods of electric vehicles subject to the availability of photovoltaic systems and superconducting magnetic energy storage systems. Moreover, it analyses and explains the issues of power loss, voltage fluctuation, load leveling and reactive power support in the different approaches. Besides that, this study explores the role of superconducting magnetic energy storage systems in different cases. A fuzzy logic control algorithm is proposed to estimate the charging and discharging process of superconducting magnetic energy storage systems and electric vehicles. In addition, a coordinated control system is proposed to manage the power between the photovoltaic system, the electric vehicles and superconducting magnetic energy storage system as well as boost the power system performance. A whole coordinated control system based on fuzzy logic control is proposed to make the power management of the grid, EVs, SMES, and PV in an all integration approach of electric vehicles to achieve the improvements in the power system performance and maintain the reliability and sustainability of the all system components. Finally, the data analysis of the simulation results, performed by the Matlab Simulink toolbox is presented in all cases to explain the performance of the superconducting magnetic energy storage system, the control system, power losses, voltage fluctuation and reactive power support.
关键词： Fuzzy Logic Controller (FLC),Photovoltaic system (PV),Coordinated Control,Electric Vehicles (EVs),Superconducting Magnetic Energy Storage (SMES),Different Integration Approach,Power loss and Voltage Control
更新于2025-09-23 15:19:57
-
Robust design of type-2 fuzzy logic-based maximum power point tracking for photovoltaics
摘要： Photovoltaic (PV) power generation is uncertain and intermittent due to varying insolation and temperature. The Maximum Power Point Tracking (MPPT) algorithm implemented in a DC/DC converter ensures maximum PV power generation for a given insolation and temperature. This paper proposes a novel method to achieve this optimization under uncertainty: (1) An Interval Type-2 Fuzzy Logic System (IT2FLS) is used to tune the duty cycle of a DC/DC converter. The control gains and IT2 membership functions are tuned optimally using approximate gradient-descent algorithm. The so-called footprint of uncertainty (FOU) in the IT2 membership functions ensures that the IT2FLS is more powerful than traditional FLS in dealing with noise and uncertainty. (2) Taguchi’s orthogonal scenarios are used to evaluate the PV power generations by considering different meteorological conditions. Signal-to-noise ratios (SNR) obtained from Taguchi’s experiments are then analyzed by average effect of all control factor levels and main effect of each control factor to achieve the robust design of control gains and IT2 fuzzy membership functions. The proposed method is implemented using a DSP Chip-in-the-Loop (DIL) simulation through a real-time simulator OPAL-RT (OP5600) and TI DSP Chip (eZdsp TMS320F28335). A standalone PV system with a boost converter and load is used to demonstrate the practical applicability of the proposed method.
关键词： Maximum power point tracking,Taguchi method,Interval type-II Fuzzy logic,Photovoltaics
更新于2025-09-23 15:19:57
-
A novel photovoltaic maximum power point tracking technique based on grasshopper optimized fuzzy logic approach
摘要： The maximum power point tracking (MPPT) in the PV system has become complex due to the stochastic nature of the load, intermittency in solar irradiance and ambient temperature. To address this problem, a novel Grasshopper optimized fuzzy logic control (FLC) approach based MPPT technique is proposed in this paper. In this proposed MPPT, grasshopper optimization is used to tune the membership functions (MFs) of FLC to handle all uncertainties caused by variable irradiances and temperatures. The performance of the proposed grasshopper optimized FLC based MPPT is studied under rapidly changing irradiance and temperature. The proposed MPPT overcomes the limitations such as slow convergence speed, steady-state oscillations, lower tracking ef?ciency as encountered in conventional methods viz. perturb & observed (P&O) and FLC techniques. The feasibility of the proposed MPPT is validated through experimentation. The effectiveness of the proposed scheme is compared with P&O and also with FLC MPPT.
关键词： Maximum power point tracking,PV system,Fuzzy logic control,Membership functions,Grasshopper optimization
更新于2025-09-23 15:19:57
-
A prototype of a low-cost solar-grid utility hybrid load sharing system for agricultural DC loads
摘要： The main objective of this work is to design a prototype of a low-cost solar-grid utility hybrid load sharing system to support the agricultural DC equipment that has already been used in the rural area of Thailand. Time-division multiplexing (TDM) technique is employed in the prototype construction, and it is used to evaluate the time interval for two power MOSFETs to switch between two applicable power supplies: in this case, solar panels and grid utility. The time interval is generated by the internal timer from a microcontroller and is divided into two square waves which are 180° out of phase (opposite sides). Each time interval is derived by the fuzzy logic controller and is calculated based on the consumption of electrical load. The experimental results are divided into three parts; first result shows a smooth output level that is consisted of the signal between solar panels and grid utility for each particular ratio. The second result shows a high efficiency of this system upon the variation of load power. Finally, we demonstrate a relatively good sharing of the electrical power when this system is operated under various capacities of the power sources. Our prototype offers the feasibility of hybridization of renewable energy and grid utility in which the technology is easily accessible by agriculturists throughout the world.
关键词： Solar-grid utility,Agricultural DC load,Fuzzy logic control,Hybrid load sharing system
更新于2025-09-19 17:15:36
-
[IEEE 2019 IEEE International Conference on Engineering Veracruz (ICEV) - Boca del Rio, Veracruz, Mexico (2019.10.14-2019.10.17)] 2019 IEEE International Conference on Engineering Veracruz (ICEV) - Comparative of wind systems vs photovoltaic for the implementation in the electric network of Veracruz Port
摘要： This paper presents the results of three control strategies of managed energy services with home energy management system (HEMS)-integrated devices. The HEMS controls and monitors three types of managed devices: 1) heating; 2) task-speci?c; and 3) energy storage devices. Three approaches are proposed for the rolling optimization by the HEMS, namely, mixed integer linear programming (MILP), continuous relaxation (CR), and fuzzy logic controller (FLC). The CR approach is identi?ed to reduce the computational complexity of the MILP by changing the MILP into an LP solution. Three types of FLC control approaches are proposed, namely, heat-related FLC, task-related FLC, and FLC for the battery. Each control strategy is evaluated against cost optimization, computational resource, and practical implementation. The ?ndings in this paper show that all three algorithmic control strategies successfully perform cost optimization, even with inaccurate forecasting information.
关键词： mixed integer linear programming (MILP),fuzzy logic control (FLC),Continuous relaxation (CR),residential appliance,home energy management system (HEMS)
更新于2025-09-19 17:13:59
-
[IEEE 2019 Photonics North (PN) - Quebec City, QC, Canada (2019.5.21-2019.5.23)] 2019 Photonics North (PN) - Sapphire fiber Bragg grating coupled with graded-index fiber lens
摘要： This paper presents the results of three control strategies of managed energy services with home energy management system (HEMS)-integrated devices. The HEMS controls and monitors three types of managed devices: 1) heating; 2) task-speci?c; and 3) energy storage devices. Three approaches are proposed for the rolling optimization by the HEMS, namely, mixed integer linear programming (MILP), continuous relaxation (CR), and fuzzy logic controller (FLC). The CR approach is identi?ed to reduce the computational complexity of the MILP by changing the MILP into an LP solution. Three types of FLC control approaches are proposed, namely, heat-related FLC, task-related FLC, and FLC for the battery. Each control strategy is evaluated against cost optimization, computational resource, and practical implementation. The ?ndings in this paper show that all three algorithmic control strategies successfully perform cost optimization, even with inaccurate forecasting information.
关键词： mixed integer linear programming (MILP),fuzzy logic control (FLC),Continuous relaxation (CR),residential appliance,home energy management system (HEMS)
更新于2025-09-19 17:13:59
-
[IEEE 2019 Compound Semiconductor Week (CSW) - Nara, Japan (2019.5.19-2019.5.23)] 2019 Compound Semiconductor Week (CSW) - Electron selective contact for high efficiency core-shell nanowire solar cell
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2025-09-19 17:13:59
-
Comparison of the Performance of Photovoltaic Power Generation-Consumption System with Push-Pull Converter under the Effect of Five Different Types of Controllers
摘要： In this study, a dynamic system has been modeled to efficiently use a photovoltaic generation and control system (PVGCS) for driving of a medium power off-grid electric machine. The measures have been taken to respond to three different disturbing factors in this system. First, the photovoltaic panels selected for energy generation have a variable solar radiation effect. Second, the DC motor load at the system output is assumed to have a variable torque. Third, a variable reference voltage, which is determined even in the case of time-varying energy generation and consumption of the system, is followed with minimum error. For this purpose, a push-pull converter has been chosen as a highly flexible structure since it is predicted that it can provide stable and effective variable DC voltage at increasing and decreasing level required for DC motor. The control of the DC voltage at different levels to be provided by the push-pull converter is performed by PI, fuzzy logic, fuzzy-tuned PI, 2-DOF PI, and fractional PID logic whose coefficients are selected by appropriate methods, respectively. The system efficiency and stability under the influence of these five different advanced controllers are compared. In the case of two disturbing factors affecting the system, the difference values (errors) of the voltage generated by each selected controller with the reference voltage are determined comparatively. The studies were carried out by using dynamic system modeling in MATLAB-SIMULINK software. In addition, the results of this study proved which type of controllers is more successful in controlling systems with the second order and more instability factors and which of them responds to sudden changes in errors more quickly.
关键词： fuzzy logic controller,fuzzy-tuned PI controller,2-DOF PI controller,fractional PID controller,push-pull converter,PI controller,photovoltaic generation,DC motor
更新于2025-09-16 10:30:52