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

共 50368 条记录，以下是321-330 订阅

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Reducing the uncertainty of laser straightness measurements via local saturation of imaging sensors

Reducing the uncertainty of laser straightness measurements ...

引用

ieee/ASME International conference on Advanced Intelligent Mechatronics (AIM)

作者： Hager, Stefan Csencsics, Ernst Yoo, Han Woong Schiller, Georg Tech Univ Wien Automat & Control Inst Vienna Austria TU Wien Christian Doppler Lab Precis Measurements Mot Automat & Control Inst Vienna Austria

ISBN: (纸本)9798350355376;9798350355369

This paper investigates causes of center detection errors in laser straightness measurements for precision positioning applications and proposes the calibration of these errors by utilizing the reversal method after reducing the center detection uncertainty. The uncertainty arising from unknown imaging errors, such as spatially varying pixel sensitivity and sensor pollution, is diminished by saturating the imaging sensor. The results demonstrate that the uncertainty can be reduced by a factor of 4.8, from 2.19 mu m to 0.45 mu m. This reduction justifies the application of the reversal method to calibrate the remaining center detection error, attributed to the shape of the laser beam cross-section in the image. Consequently, this enables straightness measurements with a repeatability of 0.34 mu m.

关键词： machine calibration straightness measurement spot center detection

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Workspace Force/Acceleration Disturbance Observer for Precise and Safe Motion control

Workspace Force/Acceleration Disturbance Observer for Precis...

引用

ieee/RSJ International conference on Intelligent Robots and Systems (IROS)

作者： Han, Wooseok Yun, Wonbum Oh, Sehoon DGIST Daegu Gyeongbuk Inst Sci & Technol Dept Robot & Mechatron Engn Daegu 42988 South Korea

ISBN: (纸本)9781665491907

The use of impedance control has become widespread in applications requiring simultaneous position tracking and compliance in contact. However, disturbances such as friction and model uncertainties can adversely affect the performance of impedance-based motion control. The disturbance observer (DOB) has been proposed to address this issue, which is a widely-utilized robust controller that eliminates observed disturbances with the nominal model. However, current DOB applications fail to consider the aspect of interactive force control properly. This study proposes a novel Workspace Force/Acceleration Disturbance Observer (WFADOB) controller, which utilizes both interaction force and acceleration to design a disturbance observer loop, enabling precise motion tracking even with low-impedance gain settings. Additionally, the proposed controller offers fine impedance rendering performance, offering safe contact while maintaining low impedance. This paper discusses the problem of motion tracking performance due to friction and the interaction force that arises during contact. The proposed controller is theoretically analyzed and experimentally verified, demonstrating its performance compared to conventional methods.

关键词： Motion control

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Modeling the Unmanned Cluster Collaboration Problem and Its Application within the Intelligence Domain

Modeling the Unmanned Cluster Collaboration Problem and Its ...

引用

2024 ieee International conference on Unmanned Systems, ICUS 2024

作者： Zhang, Legui Liu, Geng Wang, Bin Wang, Xiaoyan Li, Xuan Hua, Shiling College of Command & Control Engineering Army Engineering University of PLA Nanjing China School of Foreign Languages National University of Defense Technology PLA Nanjing China Unit 31306 of the PLA Chengdu China Unit 33269 of the PLA Lanzhou China

ISBN: (纸本)9798350384185

The study of the unmanned cluster coordination problem helps to realize the efficient coordination between unmanned aircraft, which is conducive to the realization of cross-domain coordinated operations and the improvement of the overall combat *** paper models the unmanned cluster coordination problem from three dimensions of platform coordination, time coordination and space *** the same time, the article combines the unmanned collaborative technology with the current important realities within the intelligence field and analyzes the possible applications. © 2024 ieee.

关键词： cooperative control intelligence unmanned clusters

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The Fuzzy control of LED Lights in Machine Vision System 6

The Fuzzy Control of LED Lights in Machine Vision System

引用

6th International conference on Communications, Information System and Computer Engineering, CISCE 2024

作者： Chen, Jiantao Chen, Yan Zhang, Lirong Liu, Yongqi School of Aeronautical Engineering Beijing Polytechnic Beijing China Schneider Smart Technology Co. Ltd Department of Digital Innovation & Technology Beijing China

ISBN: (纸本)9798350353174

With the vast applications of artificial intelligence technology in industrial manufacture domains, lots of machine vision system are used in the fields. Due to different lights conditions on different sites, it costed many times to adjust the machine vision system to a good performance. To decrease the adjustment time a fuzzy control method to automatically adjust the lights illuminance was proposed. In the method the industrial camera captured image was set as the control target. And the real-time quality assessment of the image was designed with the combination of objective method and subjective method. The lights illuminance of the machine vision system was automatically adjusted using the fuzzy logic to get qualified image satisfying the post image process requirements. The fuzzy logic was designed and verified using Matlab and the whole approach was practiced in a machine vision training device. The whole approach was proven feasible and provided valuable reference to the similar engineering applications. © 2024 ieee.

关键词： Fuzzy control

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A New Three Phase Twelve Switch Inverter for Three Wheel PMSM Drive Electric Transportation 4

A New Three Phase Twelve Switch Inverter for Three Wheel PMS...

引用

4th ieee International conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

作者： Bharatiraja, C. Vinoth, J. Srm Institute of Science and Technology Center for Electric Mobility Department of Electrical and Electronics Engineering Chennai Tamil Nadu Kattankulathur603203 India

ISBN: (纸本)9798350383997

This research presents a Three-Load TwelveSwitch Inverter (TLTSI) Drive designed for precise control of three Permanent Magnet Synchronous Motors (PMSM). The increasing demand for efficient and high-performance motor drives, particularly in industrial applications, necessitates advanced control strategies. The proposed system employs a two-level VSI architecture, known for its simplicity and reliability, making it suitable for various applications. The research investigates the impact of different modulation index in the reference signal on the inverter's output waveform quality. Simulation results for three cases by changing the modulation index of reference signals are presented to assess the proposed drive system's efficacy. The outcomes demonstrate the system's capability to meet the stringent requirements of modern Electric Vehicle ( EV ) environments, offering a viable solution for multi-motor control. The output current in each load is controlled by modifying the modulation index of corresponding reference signal, which gives the advantage of controlling the motor individually with single inverter. This research contributes valuable insights into the design and implementation of advanced motor drive systems, paving the way for enhanced efficiency and performance in industrial and EV applications. © 2024 ieee.

关键词： Magnetic levitation vehicles

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Design and Analysis of a Smart Irrigation control System

Design and Analysis of a Smart Irrigation Control System

引用

2025 ieee International Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Jada, Chakravarthi Varshitha, Nandaluru Rajiv Gandhi University of Knowledge Technologies Electrical and Electronics Engineering Nuzvid India

ISBN: (纸本)9798331529833

The development of a smart irrigation system is critical in addressing water conservation and enhancing agri-cultural practices. The design and implementation of a control system aimed at regulating water delivery to plants based on critical factors such as soil moisture, weather conditions and specific plant requirements is presented in this paper. The system assimilates various control methodologies, including PID control, root locus analysis, frequency response analysis, state space representation, and digital control techniques. For modeling, simulation and testing of the system, ensuring a comprehensive evaluation of its performance, Simulink is used. The proposed smart irrigation system demonstrates substantial improvements in water use efficiency and plant health by dynamically adjusting irrigation schedules in response to real-time environmental data. To further promote this technology in sustainable agriculture, future enhancements and real-world applications are discussed. © 2025 ieee.

关键词： Soil moisture

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Iterative Robust Experiment Design for MIMO System Identification via the S-Lemma

Iterative Robust Experiment Design for MIMO System Identific...

引用

2023 ieee conference on control technology and applications, CCTA 2023

作者： Dirkx, Nic Tiels, Koen Oomen, Tom Asml Veldhoven Netherlands Eindhoven University of Technology Control Systems Technology Dept. of Mechanical Engineering Eindhoven Netherlands Eindhoven University of Technology Control Systems Technology Section Department of Mechanical Engineering Eindhoven Netherlands Delft University of Technology Delft Center for Systems and Control Delft Netherlands

ISBN: (纸本)9798350335446

Optimal input design plays an important role in system identification for complex and multivariable systems. A known paradox in input design is that the optimal inputs depend on the true but unknown system. The aim of this paper is to design inputs for multivariable systems that are robust to all system variations within a given continuous uncertainty set. In the presented approach, the robust design problem is cast as an infinite-dimensional min-max optimization problem, and tackled via the S-lemma in an iterative approximation scheme. Experimental results from a multivariable motion system show that the algorithm enables significant robustness improvements. © 2023 ieee.

关键词： Iterative methods

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Cross-Layer Assisted Early Congestion control for Cloud VR applications in 5G Edge Networks 25

Cross-Layer Assisted Early Congestion Control for Cloud VR A...

引用

ieee Wireless Communications and Networking conference (ieee WCNC)

作者： Yang, Wanghong Du, Wenji Zhao, Baosen Ren, Yongmao Sun, Jianan Zhou, Xu Chinese Acad Sci Comp Network Informat Ctr Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

ISBN: (纸本)9798350303582;9798350303599

Cloud virtual reality (VR) has emerged as a promising technology, offering users a highly immersive and easily accessible experience. However, concurrent pulse VR flows can lead to significant congestion in 5G base stations, making network providers unable to guarantee the delay requirements for all users. Based on a comprehensive analysis of the poor delay performance of cloudVR flows within the existing 5G edge network, we propose a novel cross-layer congestion control mechanism that is assisted by access network status and flow characteristics. This mechanism is deployed within the 5G edge network and enables efficient global scheduling of concurrent flows. Experiment results show that our mechanism greatly optimizes the network delay in concurrent scenarios and guarantees the delay requirements of all users while avoiding network overload. Our work underscores the advantage of leveraging 5G edge nodes as a valuable resource to meet the anticipated demands of future services effectively.

关键词： Cloud VR 5G Edge Network Early Congestion control Forward-Delay Estimation Cross-Layer Awareness

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Intelligent Power Consumption Measurement and control System Based on C/S and Euclidean Distance 5

Intelligent Power Consumption Measurement and Control System...

引用

5th ieee International conference on Power, Electronics and Computer applications, ICPECA 2025

作者： Xiao, Yuanzheng Hong, Huawei Chen, Feifei Qian, Xiaorui Xu, Ming Feng, Huang Fuzhou Fujian350013 China State Grid Info-telecom Great Power Science and Technology Co. Ltd. Fuzhou350003 China

ISBN: (纸本)9798331533694

With the rapid development of smart grids, intelligent power measurement and control systems have become a key technology for achieving efficient energy management and energy conservation and emission reduction. Traditional measurement and control systems often have problems such as low data processing efficiency and poor real-time performance, which makes it difficult to meet the needs of modern power grids for precise control and intelligent management. In response to the above problems, this paper aims to explore an intelligent electricity measurement and control system based on C/S (Client/Server) architecture and Euclidean distance algorithm to improve data processing efficiency and system real-time performance. This paper elaborates on the application of C/S algorithm and Euclidean distance in intelligent power measurement and control system, including system architecture design, data processing flow and algorithm implementation. Then, through system performance testing and experimental results analysis, the effectiveness and reliability of the proposed system are verified. Finally, the research content, experimental results and shortcomings of this paper are summarized, and directions for future improvement are proposed. The experimental results show that the intelligent electricity measurement and control system based on C/S and Euclidean distance can significantly improve data processing efficiency and system real-time performance. The highest speed of data processing in the system is 200, reducing energy consumption and operating costs, providing strong support for the intelligent management of smart grids. © 2025 ieee.

关键词： C/S Algorithm Euclidean Distance Intelligent Power Consumption Measurement and control System

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Innovative Wearable EEG Solution for Stress Assessment and control

Innovative Wearable EEG Solution for Stress Assessment and C...

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

作者： Patel, Aviral Zagade, Prerna Ambudkar, Shravan Jadhav, Aboli Ambudkar, Bhavna Symbiosis Institute of Technology Department of EnTC Pune India Symbiosis Professionals and Skills University Department of EnTC Pune India Symbiosis Institute of Technology Department of Artificial Intelligence and Machine Learning Pune India

ISBN: (纸本)9798331539948

In this work, wearable electroencephalogram (EEG) technology is investigated as a cutting-edge stress assessment and treatment method. An increasing number of people require simple, practical methods for monitoring and managing their stress levels because of the increasing prevalence of illnesses associated with stress. Wearable electroencephalography (EEG) devices offer a feasible path for the high temporal resolution monitoring of stress circumstances by permitting real-time, noninvasive brain activity measurements. This abstract examines the current status of wearable EEG technology, emphasizing how advancements in sensor technology, hardware downsizing, and signal processing techniques have made it simpler to integrate EEG monitoring into everyday life. The project also investigates the utility of EEG-based Brain-Computer Interfaces (BCIs) for stress detection and control, as well as the potential of EEG signals as biomarkers for stress-related cognitive processes. The paper also covers the methodological aspects of implementing EEG-based stress assessment protocols, including feature extraction, signal processing algorithms, and machine learning techniques for stress prediction. The end of the abstract discusses the therapeutic applications of wearable EEG devices in stress management therapy and points to potential directions for future study in this rapidly emerging field. Because wearable electroencephalography (EEG) technology offers new insights into the neurophysiological foundation of stress and makes individualized therapies based on individual stress profiles possible, it has the potential to completely transform paradigms for stress measurement and regulation. © 2024 ieee.

关键词： Stress measurement

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