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Delay Compensation on Optimal Switching Vector Model Predictive control Applied to a Grid-Forming Inverter with an Output LC Filter in an Islanded Microgrid 15

Delay Compensation on Optimal Switching Vector Model Predict...

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15th ieee International conference on Industry applications, INDUSCON 2023

作者： de Andrade Campos, Bernardo F. Rolim, Luís Guilherme Barbosa Encarnação, Lucas Frizera Tricarico, Thiago Cardoso Electrical Engineering Department Federal University of Rio de Janeiro Rio de Janeiro Brazil Electrical Engineering Department Federal University of Espirito Santo Vitória Brazil

ISBN: (纸本)9798350314182

This work studies the effects of delay compensation on the Optimal Switching Vector Model Predictive control (OSV-MPC) strategy applied to a grid-forming inverter in an islanded microgrid. The main objective is to compare the power quality of the output voltage synthesized by the controller in three scenarios: standard OSV-MPC, OSV-MPC with delay compensation and OSV-MPC with delay compensation and Lagrange extrapolation on the output voltage reference signal. A processor-in-the-loop simulation scheme is implemented, with a Texas Instruments F-28379D microcontroller holding the control algorithm and MATLAB/Simulink being used to model the power system. Five different load conditions are considered: no load, capacitive, inductive, non-linear and unbalanced loads. The total harmonic distortion (THD), mean absolute error (MAE) and total frequency spread (TFS) are calculated for each case, as well as the processing time of each OSV-MPC variation is measured. © 2023 ieee.

关键词： Delay Compensation Islanded Microgrids Model Predictive control (MPC) Processor-in-the-Loop

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Design and Implementation of a Quadcopter Drone control System for Photography applications 2

Design and Implementation of a Quadcopter Drone Control Syst...

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2nd Annual Intermountain conference on Engineering, technology, and Computing (IETC)

作者： Chamberlain, Blake Sheikh, Waseem Utah Valley Univ Dept Engn Orem UT 84058 USA

ISBN: (纸本)9781665486538

Quadcopter drones equipped with onboard cameras are increasingly being utilized in photography to obtain pictures that would otherwise be impossible or too expensive to shoot. The portability and flexibility of quadcopter drones is often utilized by amateur photographers. An important aspect of designing a quadcopter drone for photography applications is ensuring that the drone will automatically stabilize and remain steady to ensure the perfect shot, without needing input on part of the user. To achieve this purpose, a quadcopter drone uses a control system with tuned parameters to remain as steady as possible. This paper describes an implementation of a quadcopter control system using a PID controller and Kalman filter to improve the inputs from the onboard gyroscope, to make the drone as steady as possible for a perfect shot.

关键词： control system PID controller Kalman filter complementary filter quadcopter drone

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An improved linear extended state observer-based model predictive current control for variable flux memory machine for underwater-aerial unmanned aerial vehicle applications

An improved linear extended state observer-based model predi...

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2023 ieee International conference on Predictive control of Electrical Drives and Power Electronics, PRECEDE 2023

作者： Lv, Dunwei Lin, Heyun Lin, Nan Yang, Hui Qian, Cheng Liu, Xing Chen, Junquan Southeast University School of Electrical Engineering Nanjing China Naval University of Engineering National Key Laboratory of Science and Technology on Electromagnetic Energy Hubei East Lake Laboratory Wuhan China

ISBN: (纸本)9798350396867

This paper proposes an improved linear extended state observer (ILESO) -based model predictive current control (MPCC) method for variable flux memory machine (VFMM) drives, which can be applied to underwater-aerial unmanned aerial vehicles (UA-UAVs). Due to the drastic load and speed changes during the underwater-aerial process, the magnetization state of VFMM also needs to be accordingly adjusted to permit high efficiency over a wide operational range. This will cause pronounced changes in the equivalent machine parameters, thereby affecting the robustness of the overall system. Thus, a ILESO-based MPCC method is proposed to extract the errors caused by the parameter variations in the system and compensate for the error in the driving prediction model. The ILESO parameters are easy to be tuned and implemented, while also addressing the robustness issue of the MPCC parameters. Finally, the simulation results are provided to validate the effectiveness of the proposed method, considering various operating conditions of UAVs in different environment. © 2023 ieee.

关键词： Antennas

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Sliding Model-Based Predictive Torque control of Induction Motor for Electric Vehicle

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ieee TRANSACTIONS ON INDUSTRY applications 2022年第1期58卷 742-752页

作者： Kousalya, V Rai, Rashmi Singh, Bhim Indian Inst Technol Delhi Dept Elect Engn New Delhi 110016 India

This article presents a sliding model-based predictive torque control (S-PTC) of an induction motor for the electric vehicle application. In this work, a battery-operated bidirectional converter fed induction machine-driven power train system is considered. In the conventional predictive torque control (C-PTC), only the machine model is used for the prediction of stator flux, current, and electromagnetic torque. Unlike the C-PTC, the presented control scheme offers a nonlinear switching feedback term in the prediction equation to overcome the model uncertainties, disturbances, and variation in motor parameters. The gains of the feedback terms are selected based on the Lyapunov stability criterion. Adaptive full order observer is used for the estimation of speed and rotor flux. This method is implemented and the speed response and torque ripple of the motor are analyzed for various operating modes of the vehicle. The robustness of the control is verified for variation in motor parameters and a comparison is shown to justify the achievement of objectives through S-PTC than with C-PTC. The control algorithm for the developed system is verified experimentally through the laboratory prototype.

关键词： Torque Predictive models Induction motors Stators Inductance Adaptation models Voltage control Adaptive full order observer (AFO) bidirectional dc-dc converter electric vehicle (EV) predictive torque control (PTC) torque ripple

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Characterizations for eWLB (Embedded Wafer Level Ball Grid Array) Antenna in Molded Package Integrations in 77GHz Automotive applications 24

Characterizations for eWLB (Embedded Wafer Level Ball Grid A...

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24th European Microelectronics and Packaging conference, EMPC 2023

作者： Hsieh, Ming-Che Zhang, Frank Zhu, Forest Liu, Kang Chua, Linda Lin, Yaojian Damalerio, Joel Goh, Hin Hwa Chan, Kai Chong Chen, Zihao Field Applications Engineering JCET Group Co. Ltd. Singapore Chief Executive Officer Andar Technologies Co. Ltd. Hangzhou China Andar Technologies Co. Ltd. Research & Design Dept. Hangzhou China R&D Engineering JCET Group Co. Ltd. Singapore Process Engineering JCET Group Co. Ltd. Singapore College of Electronics and Information Engineering Harbin Institute of Technology Shenzhen China

ISBN: (纸本)9780956808691

The worldwide IC market has had a significant growth rate in recent years, driving diversified package solutions in the segments of communication, computing, consumer, automotive, industrial, etc. Among these market segments, the automotive market is forecast to have the strongest CAGR (Compound Annual Growth Rate) of any of the end-use segments in the next 5 years, which results in more IC packages and components being designed into automotive vehicle systems such as infotainment, ADAS (Advance Driving Assistance System), instrumentation, body systems, battery control systems and so on. In these applications, the 77GHz short-range radar sensor application that can enable higher EIRP (Effective Isotropic Radiated Power) and adaptive cruise control performance has become more attractive to be commercialized. Due to the benefits of shorter interconnection length, lower conductive loss with smooth Cu surface as well as a lower dielectric constant and dielectric loss of materials in a fan-out wafer level package (FOWLP) technology, the FOWLP is proven as a suitable packaging solution to achieve the high speed and frequency requirements in 5G and mmWave applications. The eWLB Embedded Wafer Level Ball Grid Array) is a versatile FOWLP technology, providing a robust package platform in a space-efficient design with the very dense interconnection and routing of multiple dies as well as a smaller footprint and lower package profile providing a reliable package solution. Meanwhile, since the utilization of an antenna that is integrated into the packages has been studied as a low-cost solution because the packages can be tested in normal FR4 printed circuit board (PCB) instead of the RF function integrated PCB, the eWLB integrated with molded antenna chip packages (called eWLB antenna in molded package) technology is introduced in this paper. The characterizations for assembly process challenges are evaluated and illustrate the process optimizations of equipment handling, ante

关键词： Scattering parameters

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OMN-IBUS Type of Networking System for the Communication System in 6G 4

OMN-IBUS Type of Networking System for the Communication Sys...

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4th ieee International conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Devi, A. Sangeetha Bhatt, Deepanshu Bansal, Saloni Keerthika, A. Mohanraj, T. Santhosh, S. Tamil Nadu T.M.Palayam India Ies Institute of Technology and Management Ies University Department of Mechanical Engineering M.P Bhopal India Gla University Department of Computer Engineering and Applications Mathura India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering TN India TN India Einstein College of Engineering Department of Electronic and Communication Engineering Tamil nadu India

ISBN: (纸本)9798350360165

The scientific community and industry have been working together in recent years to shift computational resources off centralized cloud systems to decentralized computing, or 'edge' computing. This change is a result of the cloud system's inability to keep up with the growing demands of emerging relationships, which are marked by the spread of time-sensitive applications like sophisticated robotics, augmented reality/virtual the truth technologies, self-driving cars, and vital remote control of Internet of Things applications. Decentralized computing at the border is still in its infancy and lacks a full platform, despite the critical role that it will play in future distributed systems. This article presents OMNIBUS, a novel decentralized edge architecture. This approach uses moving vehicles as resources for processing and storage, enabling the continuous delivery of computational capability to end-devices across many locations. Scalability and flexibility are two characteristics that set OMNIBUS distinct from other edge computing solutions. The suggested method, which is based on mathematical models of prediction, determines computational capacity for particular locations by learning the direction and time of vehicle movements. It also presents a theoretical foundation for learning, improvement, and caching amid dynamic conditions caused by moving vehicles, specifically for sequential concurrent conversion. OMNIBUS's scalability allows for almost infinite growth, which might result in a significant increase in network speed. © 2024 ieee.

关键词： Scalability

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Power Flow Analysis using Dynamically Weighted Deep Neural Networks

Power Flow Analysis using Dynamically Weighted Deep Neural N...

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2023 ieee International conference on Power Electronics, Smart Grid, and Renewable Energy, PESGRE 2023

作者： Prashal, Garima Sumathi, Parasuraman Padhy, Narayana Prasad Indian Institute of Technology Department of Electrical Engineering Uttarakhand Roorkee India

ISBN: (纸本)9798350310573

The computation of nonlinear power flow equations is crucial for optimization and power system control applications. However, obtaining system information such as lines and topology parameters can be challenging for distribution system operators. To address this issue, various data-driven techniques have been proposed, but they face challenges related to generalizability, data quality requirements, and inconsistent solutions. As a result, there is a growing interest in integrating physics-informed neural networks (PINNs) into deep learning techniques. In this study, we introduce a dynamic weight-adjusted physics-informed deep neural network (DW-PIDNN) for solving power flow equations. This approach mitigates gradient imbalance issues during training, leading to improved generalizability, computational efficiency, and convergence rate. We validate the effectiveness of DW-PIDNN using ieee 5, ieee 33, ieee 57, and ieee 118 test cases for power flow analysis. © 2023 ieee.

关键词： Deep Neural Network dynamic weight Physics Informed power flow

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AI-based Approach for Radio Frequency Jamming Attack Detection in Unmanned Aerial Vehicles 29

AI-based Approach for Radio Frequency Jamming Attack Detecti...

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29th ieee Asia Pacific conference on Communications, APCC 2024

作者： Harshil, Jetani Goti, Harikrushna Mahida, Nikunjkumar Gupta, Rajesh Tanwar, Sudeep Bhardwaj, Geetika Jhanjhi, N.Z. Ray, Sayan Kumar Institute of Technology Nirma University Department of Comp. Sci. & Engg Ahmedabad India Guru Nanak Dev Engineering College Ludhiana Department of Comp. Sci. & Engg Punjab India Taylor's University Subang Jaya School of Computer Science Malaysia

ISBN: (纸本)9798331517816

Unmanned Aerial Vehicles (UAV) are highly versatile systems with applications expanding in various fields, for instance, Surveillance, Reconnaissance, Disaster Response, Agriculture, and many more. Although UAVs have many important advantages over conventional manned aircraft, such as cheaper operating costs and a lower risk for human pilots, their vulnerability to Radio Frequency (RF)-jamming poses a substantial risk to navigation and communication systems by disrupting signals. UAVs depend on remote control and autonomous operations. These attacks are concerning in many application areas. Communication and navigation play crucial roles in these autonomous systems. This paper aims to explore different deep-learning algorithms for the detection of RF-jamming attacks in UAVs. A comparison analysis is conducted to evaluate five distinct architectures using conventional evaluation metrics criteria comprising accuracy, precision, recall, confusion matrices, and the area under the ROC curve. These comparative analyses helped in selecting an accurate architecture for the definition, RNN architecture gave an impressive accuracy of 93% and demonstrated a superior performance than other architectures. This paper aims to strengthen RF-jamming detection systems in UAVs to enhance their safety and operational reliability in several scenarios. © 2024 ieee.

关键词： Unmanned aerial vehicles (UAV)

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Identification of VSI Nonlinearity in IoT-Embedded PMSM Drives Using FFT 3

Identification of VSI Nonlinearity in IoT-Embedded PMSM Driv...

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3rd ieee International conference on Power, Electronics and Computer applications, ICPECA 2023

作者： Brescia, Elia Vergallo, Patrizia Celik, Ibrahim Politecnico di Bari Dept. of Electrical Engineering and Information Technology Bari Italy Afyon Kocatepe University Dept. of Mechatronic Engineering Afyonkarahisar Turkey

ISBN: (纸本)9781665472784

This paper proposes a novel method to identify the voltage-source inverter (VSI) nonlinearity in internet-of-things (IoT)-embedded permanent magnet synchronous motor (PMSM) drives. The accuracy of existing online approaches for the identification of the VSI distorted voltage is limited by additional harmonic distortion of the voltage references caused by phenomena not considered in the PMSM model. Moreover, methods that rely on the direct compensation of the VSI nonlinearity in the PMSM control scheme cannot be easily implemented in commercial drives since the firmware of the control unit is generally not customizable. The proposed method is designed for contexts in which commercial PMSM drives generate data that are collected and stored in cloud data lakes and custom algorithms cannot be implemented on the drive control unit. To overcome the drawbacks of the existing online approaches, the fast Fourier transform is adopted to compute only the 6-th harmonic components of the d-axis distorted coefficient and d-axis voltage reference corrected using the estimated q-axis stator inductance. The method is validated by using data generated with an accurate Simulink model of a high-speed PMSM drive and comparisons with other methods are provided to show the effectiveness of the proposed approach. © 2023 ieee.

关键词： Fast Fourier transforms

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Adaptability Enhancement of LCL-Type Grid-Connected Inverter with Single-Loop Inverter-Side Current Feedback to Complex Power Grid 6

Adaptability Enhancement of LCL-Type Grid-Connected Inverter...

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6th ieee International Electrical and Energy conference, CIEEC 2023

作者： Ding, Haojie Lin, Hua Li, Shaojie Wang, Xingwei Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China

ISBN: (纸本)9798350346671

Grid-connected Voltage Source Inverters (VSI) equipped with LCL filters are attractive in utility applications for their better power quality features. The single-loop inverter-side current feedback (ICF) control is often used due to its low cost in practice. A stable single-loop ICF-controlled grid-connected system designed under ideal power grid (i.e., grid impedance is 0) can still maintain stability under inductive power grid (i.e., grid impedance only contains inductance), but may be unstable under complex power grid (i.e., grid impedance contains inductance and capacitance simultaneously) when frequency responses of inverter output admittance and equivalent grid admittance intersect at non-passive frequency region of inverter output admittance. Literatures have revealed that non-passive region of inverter output admittance occurs above critical frequency fcri due to digital control delay, and that fcri is fs/6 considering typical delay of 1.5 times Ts. Various phase compensators proposed in literatures can help to improve fcri for enhancing the adaptability of single-loop ICF-controlled grid-connected inverter to complex power grid by inserting them in series or parallel with current regulator. In this paper, a biquadratic compensator is inserted in series with current regulator and parameter design of biquadratic compensator is presented. The fcri is improved to 0.407fs with the biquadratic compensator designed in this paper, which is higher than fcri in literatures. © 2023 ieee.

关键词： Inductance

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