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Coordination of Regulation Devices for Damping Power Oscillations in a Dynamic Disturbance Context: A fuzzy logic-Based Approach Applied to the Electrical Grid of the Republic of Congo

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Journal of Power and Energy Engineering 2024年第1期12卷 44-60页

作者： Mavie Grace Mimiesse Davy Rostand Souamy Loembe Smaël Magloire Elombo Motoula Désiré Lilongo-Boyenga Laboratoire du Génie É lectrique et &#201lectronique &#201cole Nationale Supérieure Polytechnique Université Marien NGOUABI Brazzaville Congo Institut Supérieur d’Architecture Urbanisme Batiment et Travaux Punlics Université Dénis SASSOU-N’GUESSO Kintelé Congo

This article presents a fuzzy logic-based approach to coordinate the control devices of the power system, such as Power System Stabilizers (PSS) and Static Synchronous Compensators (STATCOM), to damp power oscillations caused by dynamic disturbances. At first, we used the Lyapunov method to study the dynamic stability of the power grid in the Republic of Congo. This method allowed us to analyze the eigenvalues of the state variable matrix and highlight the eigenvalues in the complex plane. Secondly, we proposed a fuzzy logic-based controller to account for uncertainties existing near the thresholds. The inputs to this controller are the generator speed and generator rotor angle. We demonstrated the effectiveness and feasibility of this fuzzy control by applying it to the power grid of the Republic of Congo, with three power stabilizers and two STATCOMs. .

关键词： fuzzy logic STATCOM PSS Lyapunov Republic of Congo

Implementation of fuzzy logic Control into an Equivalent Minimization Strategy for Adaptive Energy Management of A Parallel Hybrid Electric Vehicle

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Journal of Transportation Technologies 2024年第1期14卷 88-118页

作者： Jared A. Diethorn Andrew C. Nix Mario G. Perhinschi W. Scott Wayne Department of Mechanical and Aerospace Engineering West Virginia University Morgantown WV USA

As government agencies continue to tighten emissions regulations due to the continued increase in greenhouse gas production, automotive industries are seeking to produce increasingly efficient vehicle technology. Hybrid electric vehicles (HEVs) have been introduced to mitigate problems while improving fuel economy. HEVs have led to the demand of creating more advanced controls software to consider multiple components for propulsive power in a vehicle. A large section in the software development process is the implementation of an optimal energy management strategy meant to improve the overall fuel efficiency of the vehicle. Optimal strategies can be implemented when driving conditions are known a prior. The Equivalent Consumption Minimization Strategy (ECMS) is an optimal control strategy that uses an equivalence factor to equate electrical to mechanical power when performing torque split determination between the internal combustion engine and electric motor for propulsive and regenerative torque. This equivalence factor is determined from offline vehicle simulations using a sensitivity analysis to provide optimal fuel economy results while maintaining predetermined high voltage battery state of charge (SOC) constraints. When the control hierarchy is modified or different driving styles are applied, the analysis must be redone to update the equivalence factor. The goal of this work is to implement a fuzzy logic controller that dynamically updates the equivalence factor to improve fuel economy, maintain a strict charge sustaining window of operation for the high voltage battery, and reduce computational time required during algorithm development. The adaptive algorithm is validated against global optimum fuel economy and charge sustaining results from a sensitivity analysis performed for multiple drive cycles. Results show a maximum fuel economy improvement of 9.82% when using a mild driving style and a 95% success rate when maintaining an ending SOC within 5% of the desired SOC regardless of starting SOC.

关键词： Hybrid Electric Vehicle fuzzy logic Adaptive Control Charge Sustainability

Artificial Neural Network and fuzzy logic Based Techniques for Numerical Modeling and Prediction of Aluminum-5%Magnesium Alloy Doped with REM Neodymium

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International Journal of Nonferrous Metallurgy 2024年第1期11卷 1-19页

作者： Anukwonke Maxwell Chukwuma Chibueze Ikechukwu Godwills Cynthia C. Nwaeju Osakwe Francis Onyemachi Department of Metallurgical and Materials Engineering Nnamdi Azikiwe University Awka Nigeria Department of Mechanical Engineering Nigeria Martine University Okerenkoko Nigeria

In this study, the mechanical properties of aluminum-5%magnesium doped with rare earth metal neodymium were evaluated. fuzzy logic (FL) and artificial neural network (ANN) were used to model the mechanical properties of aluminum-5%magnesium (0-0.9 wt%) neodymium. The single input (SI) to the fuzzy logic and artificial neural network models was the percentage weight of neodymium, while the multiple outputs (MO) were average grain size, ultimate tensile strength, yield strength elongation and hardness. The fuzzy logic-based model showed more accurate prediction than the artificial neutral network-based model in terms of the correlation coefficient values (R).

关键词： Al-5%Mg Alloy Neodymium Artificial Neural Network fuzzy logic Average Grain Size and Mechanical Properties

History of Western Philosophy and Quantum Language (Including Quantum Mechanics, Statistics, fuzzy logic, etc.)

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Journal of Applied Mathematics and Physics 2024年第5期12卷 1769-1795页

作者： Shiro Ishikawa Department of Mathematics Faculty of Science and Technology Keio University Yokohama Japan

Although there are many different types of philosophy, many philosophers agree that the mainstream of Western philosophy (Socrates, Plato, Aristotle, Descartes, Kant, Wittgenstein) developed toward the perfection of Socrates’ absolutism. But can the absolutism maintain its central position after analytic philosophy? There are pessimistic views on this problem, such as that of R. Rorty, the standard-bearer of neo-pragmatism. Recently, I proposed quantum language (which is including quantum mechanics, statistics, fuzzy sets, etc.). I think that that this theory is not only one of the most fundamental scientific theories, but also the scientific final destination of Western philosophy. If so, Socrates’ dream has come true. The purpose of this paper is to discuss the above and to inform readers that quantum language has the power to create a paradigm shift from the classical mechanical world view to the quantum mechanical worldview.

关键词： Quantum Language Linguistic Copenhagen Interpretation fuzzy logic

fuzzy logic Control of a Head-movement Based Semi-autonomous Human–machine Interface

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Journal of Bionic Engineering 2023年第2期20卷 645-655页

作者： YasirÖzlük Eda Akman Aydin Institute of Sciences Selçuk UniversityAlaaddin Keykubad CampusSelçukluKonya42130Turkey Faculty of Technology Electrical and Electronics EngineeringGazi University06500 Teknikokullar BesevlerAnkara06500Turkey

Quadriplegia is a neuromuscular disease that may cause varying degrees of functional loss in trunk and limbs.In such cases,head movements can be used as an alternative communication channel.In this study,a human–machine interface which is controlled by human head movements is designed and implemented.The proposed system enables users to steer the desired movement direction and to control the speed of an output device by using head movements.Head movements of the users are detected using a 6 DOF IMUs measuring three-axis accelerometer and three-axis gyroscope.The head movement axes and the Euler angles have been associated with movement direction and speed,respectively.To ensure driving safety,the speed of the system is determined by considering the speed requested by the user and the obstacle distance on the route.In this context,fuzzy logic algorithm is employed for closed-loop speed control according to distance sensors and reference speed data.A car model was used as the output device on the machine interface.However,the wireless communication between human and machine interfaces provides to adapt this system to any remote device or systems.The implemented system was tested by five subjects.Performance of the system was evaluated in terms of task completion times and feedback from the subjects about their experience with the system.Results indicate that the proposed system is easy to use;and the control capability and usage speed increase with user experience.The control speed is improved with the increase in user experience.

关键词： Human-machine interface(HMI) Head-movement Obstacle avoidance Inertial measurement unit(IMU) fuzzy logic

fuzzy logic classification of mature tomatoes based on physical properties fusion

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Information Processing in Agriculture 2022年第4期9卷 547-555页

作者： Seyed Mehdi Nassiri Amir Tahavoor Abdolabbas Jafari Department of Biosystems Engineering Shiraz UniversityShiraz 71441Iran Lincoln Agritech Ltd. Lincoln UniversityLincoln 7616New Zealand

Grading of fruits and vegetables is an initial step after harvesting.It is also an essential operation before packaging.In the present study,different fuzzy algorithms for classifica-tion of mature tomato were applied and evaluated based on combinations of fruit color,size and hardness.fuzzy membership functions of hardness were established by subject-ing samples to Instron compression test as well as the rates of panelists.Each sample was also used for image processing to determine the color and size of fruit using Matlab image processing toolbox.Color and size fuzzy membership functions were established by pub-lished standard.The fuzzy If-Then rules were applied to classify the samples within five group outputs viz.“grade I”,“grade II”,“grade I-far market”,“processing”,and“storage”.Eighty-one fuzzy rules were reduced to 25 rules by combining the compatible rules.Six fuzzy algorithms with different fuzzifiers(zmf,sigmf,gbellmf)and defuzzifiers(bisector,mom,and centroid)were applied,and the outputs were compared to the panelists’classi-fications in cross tables.According to the classification results,fuzzy algorithms grouped the fruits into correct classes with 90.9%,92.3%,88.7%,87.4%,92.4%and 93.3%accuracy for 6 models,respectively.The best result was observed with zmf and sigmf,and gbellmf as fuzzifier and mom as defuzzifier with 93.3%accuracy.Overly,the results revealed that the fusion of aforementioned tomato properties based on fuzzy membership functions could accurately classify the tomatoes in correct groups for different markets.

关键词： fuzzy logic Grading Hardness Tomato Sorting

fuzzy logic Inference System for Managing Intensive Care Unit Resources Based on Knowledge Graph

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Computers, Materials & Continua 2023年第12期77卷 3801-3816页

作者： Ahmad F Subahi Areej Athama Department of Computer Science University College of Al JamoumUmm Al-Qura UniversityMakkah21421Saudi Arabia

With the rapid growth in the availability of digital health-related data,there is a great demand for the utilization of intelligent information systems within the healthcare sector.These systems can manage and manipulate this massive amount of health-related data and encourage different decision-making tasks.They can also provide various sustainable health services such as medical error reduction,diagnosis acceleration,and clinical services quality improvement.The intensive care unit(ICU)is one of the most important hospital units.However,there are limited rooms and resources in most hospitals.During times of seasonal diseases and pandemics,ICUs face high admission demand.In line with this increasing number of admissions,determining health risk levels has become an essential and imperative task.It creates a heightened demand for the implementation of an expert decision support system,enabling doctors to accurately and swiftly determine the risk level of patients.Therefore,this study proposes a fuzzy logic inference system built on domain-specific knowledge graphs,as a proof-of-concept,for tackling this healthcare-related issue.The system employs a combination of two sets of fuzzy input parameters to classify health risk levels of new admissions to hospitals.The proposed system implemented utilizes MATLAB fuzzy logic Toolbox via several experiments showing the validity of the proposed system.

关键词： fuzzy logic role-based expert system decision-support system knowledge graph Internet of Things ICU resource management Neo4J graph database

fuzzy logic Based Handover Authentication in 5g Telecommunication Heterogeneous Networks

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Computer Systems Science & Engineering 2023年第7期46卷 1141-1152页

作者： J.Divakaran Arvind Chakrapani K.Srihari Vivekanandha College of Engineering for Women TiruchengodeNamakkal637205TamilnaduIndia Karpagam College of Engineering Coimbatore641032TamilnaduIndia SNS College of Technology Coimbatore641035TamilnaduIndia

Under various deployment circumstances,fifth-generation(5G)telecommunications delivers improved network compound management with fast communication channels.Due to the introduction of the Internet of Things(IoT)in data management,the majority of the ultra-dense network models in 5G networks frequently have decreased spectral efficiency,weak handover management,and vulnerabilities.The majority of traditional handover authentication models are seriously threatened,making them vulnerable to a variety of security attacks.The authentication of networked devices is the most important issue.Therefore,a model that incorporates the handover mechanism and authentication model must be created.This article uses a fuzzy logic model to create a handover and key management system that focuses on cloud handover management and authentication performance.In order to decrease delays in 5G networks,the fuzzy logic is built with multiple criteria that aim to reduce the number of executed handovers and target cell selection.The simulation is run to evaluate the model’s performance in terms of latency,spatial complexity,and other metrics related to authentication attack validation.

关键词： Handover authentication mobility management fuzzy logic latency 5G IoT MATLAB 3gpp

Detection of False Data Injection Attacks on Load Frequency Control System with Renewable Energy Based on fuzzy logic and Neural Networks

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1576-1587页

作者： Ziyu Chen Jizhong Zhu Shenglin Li Yun Liu Tengyan Luo School of Electric Power Engineering South China University of TechnologyGunagzhou 510640China

Load frequency control(LFC)system may be destroyed by false data injection attacks(FDIAs)and consequently the security of the power system will be impacted.High-efficiency FDIA detection can reduce the damage and power loss to the power system.This paper defines various typical and hybrid FDIAs,and the influence of several FDIAs with different characteristics on the multi-area LFC system is analyzed.To detect various attacks,we introduce an improved data-driven method,which consists of fuzzy logic and neural networks.fuzzy logic has the features of high applicability,robustness,and agility,which can make full use of samples.Further,we construct the LFC system on MATLAB/Simulink platform,and systematically simulate the experiments that FDIAs affect the LFC system by tampering with measurement data.Among them,considering the large-scale penetration of renewable energy with intermittency and volatility,we generate three simulation scenarios with or without renewable energy generation.Then,the performance for detecting FDIAs of the improved method is verified by simulation data samples.

关键词： Load frequency control(LFC) wind turbine and photovoltaic generation fuzzy logic neural network