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ANN controller for Mitigation of Power Quality Issues Using Single Phase Unified Power Flow controller

ANN Controller for Mitigation of Power Quality Issues Using ...

引用

2023 international conference on Circuit Power and computing Technologies, ICCPCT 2023

作者： Sasikala, K. Selva Kumar, J Stanly Vignesh, K. Ezhil Jarin, T. Muthukumar, P. Padmasuresh, L. Vels Institute of Science Technology & Advanced Studies Department of Electrical and Electronics Engineering Tamilnadu Chennai India Stella Mary's College of Engineering Department of Electrical and Electronics Engineering Tamil Nadu India Jyothi Engineering College Department of Electrical and Electronics Engineering APJ Abdul Kalam Technological University Kerala India Prasad V. Potluri Siddhartha Institute of Technology Department of Electrical and Electronics Engineering Andhra Pradesh Vijayawada India Baselios Mathews II College of Engineering Sasthamcotta Department of Electrical and Electronics Engineering Kerala Kollam India

ISBN: (纸本)9798350333244

This research proposes a nonlinear control method for single-phase Unified Power Flow controller (UPFC) to improve Power Quality (PQ) issues in single-phase power grid. The main objective of this work is to maintain the appropriate level of load voltage minimal distortion and the control aims include the following: (i) compensation for current harmonics and reactive power;(ii) compensation for voltage disturbances (harmonics and swell, sags and flickers of voltage);and (iii) regulate the voltage on the DC bus. For the purpose to reduce harmonics in power systems and generate reference current for AC supply, the Decoupled Double Synchronous Reference Frame (DDSRF) theory has been presented. The influence of harmonics is then lessened by injecting this harmonic into power systems. Artificial Neural Network (ANN) with Hysteresis Current controller (HCC) is used to create hysteresis Current regulation, which lowers Total Harmonic Distortion (THD) and increases output voltage. Through several simulation outcomes, the suggested system's effectiveness is examined. Hardware results are also confirmed with simulation outcomes using Matlab/Simulink. © 2023 IEEE.

关键词： Power quality

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Reinforcement Learning-Based Output Stabilization control for Nonlinear Systems With Generalized Disturbances 25

Reinforcement Learning-Based Output Stabilization Control fo...

引用

25th IEEE international conference on Industrial Technology, ICIT 2024

作者： Tang, Zezhi Rossiter, J Anthony Dong, Yi Panoutsos, George University Of Sheffield Department Of Automatic Control And Systems Engineering SheffieldS13JD United Kingdom University Of Southampton Department Of Electronics And Computer Science Southampton United Kingdom

ISBN: (纸本)9798350340266

This paper proposes a new disturbance observer (DO)-based reinforcement learning (RL) control approach for nonlinear systems with unmatched (generalized) disturbances. While a nonlinear disturbance observer (NDO) is utilized to measure the plant uncertainties, disturbances can exist in the plant via distinct channels from those of the control signals;so-called mismatched disturbances are theoretically difficult to attenuate within the channel of the system's states. A generalized disturbance observer-based compensator is implemented to address the uncertainty cancellation problem by removing the influence of uncertainties from the output channels. Con-currently, a composite actor-critic RL scheme is utilized for approximating the optimal control policy as well as the ideal value function pertaining to the compensated system by solving a Hamilton-Jacobi-Bellman (HJB) equation for both online and offline iterations simultaneously. Stability analysis verifies the convergence of the proposed framework. Simulation results are included to illustrate the effectiveness of the proposed scheme. © 2024 IEEE.

关键词： Nonlinear systems

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Optimizing Electric Vehicle Charging Networks Using Clustering Technique 2

Optimizing Electric Vehicle Charging Networks Using Clusteri...

引用

2nd international conference on Computer, Communication and control, IC4 2024

作者： Srividhya, V. Gowriswari, S. Vini Antony, N. Murugan, S. Anitha, K. Rajmohan, M. Meenakshi College of Engineering Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Sri Sairam Engineering College Department of Instrumentation and Communication Engineering Tamil Nadu Chennai India R.M.D. Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Biomedical Engineering Tamil Nadu Chennai India Srm Institute of Science and Technology School of Computing Department of Computing Technologies Kattankulathur Tamil Nadu Chennai India Hindustan Institute of Technology and Science Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350387933

The increasing use of electric vehicles (EVs) highlights the need of a designed effectively charging network. This paper presents a novel way for EV charging by establishing a smart charging hub network using dynamic K-means clustering. The unpredictable nature of EV use patterns makes static clustering systems difficult to maintain up, which leads to inefficiency and load at charging points. The failure of current electric vehicle charging facilities to adapt to altering use patterns leads in unsatisfactory charging experiences for customers. These issues are exacerbated by charging station load mismatches and an inability to connect with renewable energy sources (RES). This paper attempts to address these issues by establishing a dynamic clustering approach and a synchronized hub network. The most important outcome is intelligent charging hub equipment that can quickly react to the specific charging demands of each specific EV. The system that is suggested employs a novel clustering method, organizes charging nodes, predicts demand via predictive analytics, employs RES, and encourages consumers to use environmentally conscious charging behaviours. Insights into the development of electric transportation are provided, which lays out a detailed plan for building a smart and environmentally friendly EV charging network. © 2024 IEEE.

关键词： K-means clustering

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Smart Firefighting Early Warning and Evacuation System Based on Edge computing with Led Dynamic Indicator Devices 6

Smart Firefighting Early Warning and Evacuation System Based...

引用

6th international conference on Communications, Information System and Computer engineering, CISCE 2024

作者： Yu, Liang Lai, Yangbing Mo, Jiayu Zeng, Yuze Tan, Guoshen Xu, Haonan College of Computer Guangdong University of Science and Technology Dongguan China AIoT Edge Computing Engineering Technology Research Center of Dongguan City Guangdong AIoT Application Innovation Joint Laboratory Dongguan China

ISBN: (纸本)9798350353174

The current standard practice for building fire safety relies heavily on regular lighting, emergency lighting, and smoke sensors. The management and control centers for these systems are typically separate and independent, resulting in a bulky and expensive local control system that is difficult to use and manage. Additionally, the traditional fixed instructions in fire protection systems do not allow for adaptive planning of optimal escape routes based on the location of the fire, leading to delays in evacuation and ultimately causing significant casualties. This paper presents the design of a smart fire warning and evacuation system based on edge computing utilizing LED dynamic indication devices. The system integrates LED dot-matrix technology to create a smart indicator and emergency light with dynamic adaptive indication capabilities. Additionally, it includes temperature, humidity, and smoke sensors to monitor the building's environmental conditions. Through Mesh wireless networking, time-series sensing data is aggregated to the edge gateway, where a miniature machine learning model trained by the Edge Impluse (EI) platform performs edge computing for predicting and reasoning about fire situations. The data is then uploaded to a cloud server and forwarded to mobile users via Cat.1 communication protocol for real-time monitoring. The system also incorporates an improved ant colony algorithm for automatic execution in the cloud and allows manual commands from mobile terminals to control adaptive and dynamic indication of indicator lights and emergency lights, guiding building personnel to the safest evacuation path. System testing demonstrates a high accuracy rate of 95% for fire prediction and inference, with an average inference time of less than 1 ms. This system provides a novel approach to adaptive building fire prediction and evacuation, enhancing safety measures for orderly and secure evacuations. © 2024 IEEE.

关键词： Ant colony optimization

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Research on automatic Auxiliary System of Intelligent Agricultural Machinery 5

Research on Automatic Auxiliary System of Intelligent Agricu...

引用

5th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2023

作者： Wang, Yaoyao Wang, Jun Ma, Suchang Jiao, Xiang Wang, Haifeng Pu, Wenying School of Mechanical Technology Wuxi Institute of Technology Wuxi China Wuxi College of Mechanical and Electrical Engineering Jiangsu University Wuxi China Jiangsu Province Intelligent Production Line Technology and Equipment Engineering Research Centre Wuxi China

ISBN: (纸本)9798350333442

This paper designs an intelligent agricultural machine job scheduling method based on the Internet of Things. Use the agricultural machinery dedicated cloud as a service unit. The application of the Internet of Things technology to the interconnection of agricultural machinery can make the intelligent operation of agricultural machinery between different regions. The working mechanism of low-pressure and low-pressure load sensing hydraulic system commonly used in agricultural machinery is introduced. Using real-time history database, Web front end, WebSocket and other technologies to develop an agricultural machinery manufacturing iot system management platform. The experimental results show that the system has strong real-time performance, high precision, stable operation and good man-machine interface. The system achieves the purpose of 'intelligent' control. © 2023 IEEE.

关键词： Fuzzy control

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Mitigating Denial of Service Attacks in Software-Defined Networking Environments

Mitigating Denial of Service Attacks in Software-Defined Net...

引用

2024 international conference on Optimization computing and Wireless Communication, ICOCWC 2024

作者： Pawar, Rahul Singh, Akhilendra Pratap Sharma, Khushboo Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Vivekananda Global University Department of Electrical Engineering Jaipur India

ISBN: (纸本)9798350383348

software program-defined networking (SDN) environments provide many advantages over traditional networks, together with extended scalability and versatility. But, these same benefits include an extended threat panorama. Especially, SDN environments can be particularly at risk of Denial of carrier (Do's) attacks, which could cause service interruptions, resource depletion, and other critical network malfunctions. This paper gives a top level view of diverse strategies used to mitigate Do's assaults in SDN environments. The methods consist of community segmentation strategies, traffic filtering algorithms, and site visitors shaping techniques. Additionally, the paper also explores how software-defined networks may be leveraged to enhance the security of those networks, inclusive of imparting get admission to control, auditing, and intrusion detection competencies. Finally, the paper additionally speaks to the importance of tracking your SDN surroundings on a normal basis to be able to hit upon any suspicious activity and to reply fast. © 2024 IEEE.

关键词： Competencies Detection Fast Leveraged Mitigate Normal Reply Surroundings Tracking

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Digital Twin-Driven Degradation Modeling Method for control Moment Gyroscope Health Management 9

Digital Twin-Driven Degradation Modeling Method for Control ...

引用

9th IEEE international conference on Big Data computing Service and Applications, BigDataService 2023

作者： Cui, Runhao Huang, Xucong Zhang, Peng Tang, Diyin Beihang University School of Automation Science and Electrical Engineering Beijing China Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9798350333794

Prognosis and health management (PHM) of control moment gyroscope (CMG) plays a crucial role in ensuring the operational efficiency and safety of spacecraft. In order to improve the accuracy of PHM and supplement abundant monitoring data, this paper proposes a digital twin-driven degradation modeling method, which establishes a detailed simulation model based on degradation mechanisms at the CMG component level. The digital twin model not only provides a large amount of high-quality data for performance evaluation, but also serves as an important reference for on-orbit CMG state assessment. Finally, a case of estimating virtual sensor degradation information based on reinforcement learning is used to demonstrate the effectiveness of the proposed digital twin method. © 2023 IEEE.

关键词： Gyroscopes

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Ferromagnetic Membrane Pore Opening control and Laser Pattern Analysis

Ferromagnetic Membrane Pore Opening Control and Laser Patter...

引用

international conference on electrical engineering, computing science and automatic control (CCE)

作者： Víctor García-Limón Ernesto Suaste-Gómez Alfredo Cruz-Orea Department of Electrical Engineering Center for Research and Advanced Studies (CINVESTAV) Mexico City Mexico

ISBN: (数字)9798350377545

ISBN: (纸本)9798350377552

The electrospinning technique has been employed in the fabrication of various applications, such as sensors, filtration equipment, drug dispensers, and others. Currently, manufacturing processes have advanced to enhance precision in membrane orientation and morphology, thereby enabling control over nanofiber diameter and alignment. However, once fabrication is complete, this morphology becomes fixed. This study presents an analysis of modifying pore openings in ferromagnetic membranes under a magnetic field. The analysis is supported by specialized equipment designed for analyzing laser-projected patterns. The observed behavior shows a clear dependence on the voltage applied to the electromagnet generating the magnetic field. It is proposed that future advancements will improve control, potentially affecting the flow of both light particles and liquids.

关键词： Fabrication Technological innovation Optical fiber sensors Filtration Tissue engineering Morphology Solids Nanoscale devices Magnetic fields Pattern analysis

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Enhancing Power System Stability: A Study on Damping Torsional Oscillations with CSA-based STATCOM control 2

Enhancing Power System Stability: A Study on Damping Torsion...

引用

2nd international conference on Advanced computing and Communication Technologies, ICACCTech 2024

作者： Bamba, Sangeeta Gupta, S.K. Deenbandhu Chhotu Ram University of Science and Technology Electrical Engineering Department Sonipat India

ISBN: (纸本)9798331519056

Sub-synchronous resonance (SSR) torsional torque oscillations pose a significant challenge in power engineering. These oscillations result in increasing magnitudes of torsional torque in machine shaft sections, leading to premature wear and tear of the shaft metal. To address this issue, the study employs a novel CSA-based controller designed to dampen SSR in a series-compensated power system network. The IEEE second benchmark model for SSR research is utilized to test this mitigation strategy. To evaluate its effectiveness, a comparative simulation analysis is conducted using MATLAB/Simulink. The test model is subjected to a three-phase LLLG fault with zero inherent damping to simulate the most severe condition. The performance of the CSA-controlled STATCOM, a standard STATCOM, and a system without the proposed mitigation regime are compared. The efficacy of the attenuation strategy is showcased using a time-domain approach that relies on the dynamic response. This approach shows significant improvement in reducing SSR torsional torque oscillations, validating the proposed CSA-based controller's efficiency. © 2024 IEEE.

关键词： MATLAB

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Research on Proprioceptive-electrical Stimulation Insole Based on Flexible Sensor Array

Research on Proprioceptive-Electrical Stimulation Insole Bas...

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2023 international conference on Internet of Things, Robotics and Distributed computing, ICIRDC 2023

作者： Yang, Qun Song, Yawei Shangguan, Yuwen Li, Jinjin Nanjing Sport Institute Jiangsu Nanjing China Department of Exercise and Health Nanjing Sport Institute Jiangsu Nanjing China Shandong Xiehe University Shandong Jinan China

ISBN: (纸本)9798350375275

The research found that traditional strength training and proprioception stimulation training can enhance muscle strength to a certain extent. The use of electrical stimulation has a more significant effect on enhancing muscle function. However, the application of electric stimulation insole is still affected by current control, stimulation value, stimulation time and other parameters, which makes research difficult and becomes a recent research hotspot of international scholars. Therefore, this paper discusses the relevant principles of the noumenon sensing electric stimulation insole based on the flexible sensor array, conducts electrical stimulation on the basis of noumenon sensing stimulation, and studies its impact on the lower limb muscle function on this basis, so as to enhance the muscle strength and coordination control ability of athletes, and provide scientific and technological support for athletes to prevent injury, improve sports performance and improve sports performance, It also provides a new training method for lower limb strength training (especially plantar muscle training). © 2023 IEEE.

关键词： Muscle

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