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检索条件"任意字段=IEEE Conference on Control Technology and Applications"

共 50501 条记录，以下是481-490 订阅

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General Softstart Strategy of Bi-Directional Buck/Boost by Feedforward control Based on Average Current Mode 7

General Softstart Strategy of Bi-Directional Buck/Boost by F...

引用

7th International conference on Power and Energy applications, ICPEA 2024

作者： Jia, Xiangshuai Sha, Deshang Gao, Chao School of Automation Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350356113

The buck/boost converters are widely used in bidirectional power flow application. High inrush current exists in the start-up process by traditional control strategy due to the loss of voltage second balance when both sides are voltage sources. In this paper, a general soft-start strategy of buck/boost in continues current modulation and triangular current modulation by feedforward control based on average current mode is proposed, which guarantees the voltage second balance during the operation, and eliminates the inrush current during the soft-start process. The proposed control can also be adopted to improve both steady and dynamic performance. Finally, a 300W experimental prototype has been built to verify the effectiveness of the proposed control strategy. © 2024 ieee.

关键词： Buck converter

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Reverse blockchain technology and its application to improve the quality of control systems in conditions of network instability 6

Reverse blockchain technology and its application to improve...

引用

6th International conference on Blockchain Computing and applications, BCCA 2024

作者： Khilenko, Volodymyr Zinchenko, Andrii Stepanov, Oleksii Faculty of Informatics and Information Technologies Slovak University of Technology Bratislava Slovakia Department of Information Technologies National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine Institute of Transport Systems and Technologies National Academy of Sciences of Ukraine Dnipro Ukraine

ISBN: (纸本)9798350351538

The work proposes a technology for using a blockchain database to improve the quality of control systems for dynamic objects and technological processes in situations where the stability of communication systems is not ensured or loss of information and control signals is possible. The developed technology (hereinafter referred to as "reverse blockchain technology") involves the calculation of management signals based on a comparison of data from the blockchain database and forecast results obtained at the time of loss of the information signal. The description of the dynamics of the control object is considered in matrix form. Model experiments were carried out to select computational methods for processing signals and forming forecasts for the dynamics of an object. Recommendations are formulated to improve the reliability of control systems in conditions of instability of communication channels. © 2024 ieee.

关键词： blockchain computational methods forecasting the dynamics of an object improving the quality of control systems for dynamic objects and technological processes instability of communication channels loss of information and control signals reverse blockchain technology

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Dynamic Speed control of Induction Motors Employing MPFC and V/f Techniques

Dynamic Speed Control of Induction Motors Employing MPFC and...

引用

2024 Asia Pacific conference on Innovation in technology, APCIT 2024

作者： Mahato, Tarkesh Kumar Shekher, Vineet Birsa Institute of Technology Sindri Dept. of Electrical Engg. Dhanbad India

ISBN: (纸本)9798350361537

Induction motors are indispensable in diverse industrial applications owing to their robust construction, high efficiency, reliability, and favorable speed-torque characteristics. Effective speed control is paramount for optimal performance in both constant and variable speed applications. Traditional methods like field-oriented control (FOC) have significantly advanced motor speed control using pulse width modulation (PWM) techniques, often employing Insulated Gate Bipolar Transistors (IGBTs) for *** paper discuses about a novel approach titled "Dynamic Speed control of Induction Motors Employing Model Predictive Flux control (MPFC) and Volts by Frequency (V/f) Techniques."It explores the integration of MPFC with V/F control to enhance dynamic response and efficiency. The V/F control method maintains a constant voltage-to-frequency ratio, ensuring stable motor operation across various *** combining MPFC and V/F control, the study aims to achieve superior speed regulation, enhanced performance, and increased reliability in induction motor applications. Comprehensive analysis and simulation results demonstrate the effectiveness of this integrated approach in various operational scenarios. The inclusion of MPFC enhances the dynamic response and efficiency by predicting future states and optimizing control actions. This advancement promises improved operational efficiency and reliability in dynamic speed control of induction motors, offering significant benefits for industrial applications. The research provides valuable insights into the development of advanced motor control systems, addressing challenges associated with induction motor speed regulation effectively, and contributing to the advancement of industrial automation and efficiency. © 2024 ieee.

关键词： Insulated gate bipolar transistors (IGBT)

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RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body control

RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular ...

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ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Deng, Xiang Zheng, Zerong Zhang, Yuxiang Sun, Jingxiang Xu, Chao Yang, Xiaodong Wang, Lizhen Liu, Yebin Tsinghua Univ Dept Automat Beijing Peoples R China NNKosmos Technol Norresundby Denmark Li Auto Beijing Peoples R China

ISBN: (纸本)9798350353013;9798350353006

This paper focuses on advancing the applicability of human avatar learning methods by proposing RAM-Avatar, which learns a Real-time, photo-realistic Avatar that supports full-body control from Monocular videos. To achieve this goal, RAM-Avatar leverages two statistical templates responsible for modeling the facial expression and hand gesture variations, while a sparsely computed dual attention module is introduced upon another body template to facilitate high-fidelity texture rendering for the torsos and limbs. Building on this foundation, we deploy a lightweight yet powerful StyleUnet along with a temporal-aware discriminator to achieve real-time realistic rendering. To enable robust animation for out-of-distribution poses, we propose a Motion Distribution Align module to compensate for the discrepancies between the training and testing motion distribution. Results and extensive experiments conducted in various experimental settings demonstrate the superiority of our proposed method, and a real-time live system is proposed to further push research into applications. The training and testing code will be released for research purposes.

关键词： Generative Adversarial Networks Human Avatar Monocular

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A Machine Learning-Based Temperature control and Security Protection for Smart Buildings 10

A Machine Learning-Based Temperature Control and Security Pr...

引用

International conference on Smart Computing (SMARTCOMP)

作者： Zaman, Mostafa Al Islam, Maher Zohrabi, Nasibeh Abdelwahed, Sherif Virginia Commonwealth Univ Dept Elect & Comp Engn Richmond VA 23220 USA Penn State Univ Brandywine Departnient Engn Media PA USA

ISBN: (纸本)9798350349955;9798350349948

With the advent of loT technology, smart building management has been transformed, leading to significant improvements in energy efficiency and occupant comfort. Indoor room temperature control is crucial as it affects both building performance and occupant quality of life. Nevertheless, stringent cybersecurity measures are required due to the increasing susceptibility to cyber attacks with more loT links in smart buildings. Identifying and managing unusual temperature readings is essential to keep the system running smoothly, efficiently, and safely. By integrating classical control methods such as PID with anomaly detection and LSTM modeling, this approach enables proactive anomaly identification and accurate temperature forecasts, rendering sustainable and resilient living conditions. This integration optimizes resource usage and mitigates cyber risks. This paper presents a holistic method that combines PID control, LSTM forecasting, and anomaly detection for smart building applications. The proposed integrated approach successfully addresses aberrant temperature variations and enhances building performance, as shown through experimental validation.

关键词： Smart Building Anomaly Detection Machine Learning PID controller Random Forest Classifier FDI

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A Hybrid Digital Coding Metasurface Based on VO2for Independent control of Spatial and Surface Waves 7

A Hybrid Digital Coding Metasurface Based on VO2for Independ...

引用

7th ieee International conference on Electronic Information and Communication technology, ICEICT 2024

作者： Zhu, Ziyi Liu, Yujie Fu, Xiaojian Southeast University State Key Laboratory of Millimeter Waves Nanjing China

ISBN: (纸本)9798350384437

Recently, the digital coding metasurface has garnered widespread attention. In this paper, integrating the concept of hybrid digital coding metasurfaces with VO2 thin films allows for the independent manipulation of spatial waves and surface waves. By harnessing the phase transition properties of vanadium dioxide (VO2), one can dynamically alternate between reflection phase encoding and surface impedance encoding in the *** functional characteristics of this metasurface have been validated through simulations, showcasing significant potential applications in novel radar and satellite communication systems. © 2024 ieee.

关键词： Satellite communication systems

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control of an AC-AC Modular Multilevel Converter for Medium Frequency applications 3

Control of an AC-AC Modular Multilevel Converter for Medium ...

引用

3rd International conference on Sustainable Mobility applications, Renewables and technology, SMART 2024

作者： Rodriguez, Cristobal Ravet, Tomas Diaz, Matias Electrical Engineering Department E2Tech Research Center University of Santiago of Chile Santiago Chile

ISBN: (纸本)9798331532925

Modular Multilevel Converters (MMCs) have emerged as a key technology for high-power applications such as high-voltage transmission, wind energy conversion, large drive motors, and static compensators. Recently, MMCs have been proposed in applications of solid-state transformers and electric vehicle charging systems where medium-frequency transformers are required. Therefore, the conventional control and modulation of MMCs have to generate an alternating current port at medium frequency. Consequently, this paper proposes a novel control strategy for MMCs designed to generate a medium-frequency port while effectively regulating the converter. The control is based on a decoupled model of the MMC, which allows the regulation of the floating capacitor without relying on mitigation variables at the medium frequency. The modulation strategy is based on Phase-Shift Pulse Width Modulation (PS-PWM). Simulation results for a 1 MW MMC validate the control strategy performance, while experimental results using a 10 kW prototype confirm its practical feasibility and effectiveness. © 2024 ieee

关键词： HVDC power transmission

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Gesture control of a robotic arm via LoRa technology

Gesture control of a robotic arm via LoRa technology

引用

ieee SoutheastCon conference

作者： Okoro, Amaechi Stanley Sufian, Yousef Anglia Ruskin Univ Fac Sci & Engn Chelmsford Essex England

ISBN: (纸本)9781665476119

This papers aim to establish gesture control of robotic arm utilizing long range (LoRa) technology to enhance the signal's range while facilitating low power consumption which is achievable because the device is in continuous sleep mode and only activates when it needs to send a message. This paper was carried out by constructing a hand sensing glove with sensors and accelerometer to send signals to the robotic arm, incorporating the LoRa technology as the transmission module for transferring the signal and programming a microcontroller that processes sensor data and direct robotics arm movement. This technology has been adopted in IoT applications and found relevance when facilitating long range, low power consumption, and low cost. Notwithstanding, the shortcomings of this technology experienced is discussed briefly in this paper.

关键词： LoRa Sensors MPU6050 Hand gesture ESP32 Robotics

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Automatic Liquid Level control of Two Tank System using PLC

Automatic Liquid Level Control of Two Tank System using PLC

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2024 ieee International conference on Intelligent Systems and Advanced applications, ICISAA 2024

作者： Bhandare, Deepa S. Jape, V.S. Kulkarni, H.H. Mahajan, S.M. Sable, Parth Pawar, Yash PES's Modern College of Engineering Dept. of Electrical Engineering Shivajinagar Pune India Dr. D. Y Patil Institute of Technology Department of Electrical Engg Pimpri Pune India

ISBN: (纸本)9798331539948

This paper presents a comprehensive study on the effective management of liquid levels in industrial settings is crucial for ensuring operational safety, productivity, and resource conservation. The water level control problem is a common issue in the industry, which has been thoroughly examined in various studies. This paper specifically concentrates on developing and executing a water level control system based on a Programmable Logic controller (PLC). The paper has one main goal designing the PLC- based control model for tank level control for a couple of tank systems. This paper is centered on the deployment of a MIMO as well as SISO liquid level monitoring system utilizing Programmable Logic controller (PLC) technologies to develop a sophisticated control system that can accurately measure and regulate liquid levels in tanks or containers. Sensors are utilized to collect precise level data, which is then processed by the PLC to activate control mechanisms. PLC can provide a user-easy control interface. © 2024 ieee.

关键词： Tanks (containers)

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Delta firmware Update strategy for Automotive Electronic control Unit

Delta firmware Update strategy for Automotive Electronic Con...

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2024 ieee International conference on Intelligent Systems and Advanced applications, ICISAA 2024

作者： Chaturvedi, Akshay Gaikwad, Pushkraj Global Software House Forvia Hella Maharashtra Pune India

ISBN: (纸本)9798331539948

The automotive sector is undergoing a significant transformation towards interconnected and self-driving vehicles, underscoring the need for efficient and dependable firmware update systems to uphold vehicle safety, performance, and compliance with evolving standards. Delta update technology emerges as a promising solution, reducing data transfer and update durations by transmitting only the alterations between current and new firmware versions. This study delves into the integration of delta update technology within automotive firmware updates, accentuating its advantages, obstacles, and potential ramifications on vehicle upkeep and cybersecurity. Through a thorough examination and evaluation, we aim to provide insights on harnessing delta update technology to improve the effectiveness, dependability, and security of firmware updates within automotive frameworks. Executing a comprehensive firmware update poses a formidable challenge, considering that vehicles are in constant motion, traversing diverse geographical locations with varying telecommunication network conditions. Adopting a strategy of updating only the delta between the two software versions proves advantageous, conserving bandwidth, data resources, and, notably, time. © 2024 ieee.

关键词： Firmware

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