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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Riccardo Franceschini Matteo Fumagalli Julian Cayero Becerra Eurecat Centre Tecnològic de Catalunya Robotics and Automation Unit Barcelona Spain Department of Electrical Engineering Automation and Control Group Danish Technical University Lyngby Denmark

Recent developments in the capabilities of unmanned aerial vehicles (UAVs) have made them suitable for use in various industrial settings. Their ability to access difficult and remote locations, as well as providing remote manipulation and visual inspection capabilities, make them valuable for various industrial applications. However, operating UAVs can be challenging, particularly in cluttered environments. This research aims to enhance the teleoperation experience by providing human-meaningful information on the remote user interface, thereby improving the operator’s situational awareness. Shared autonomy routines utilizing the previously collected information are also developed to further assist the operator with challenging control tasks. The proposed system has been tested in simulated environments and on actual hardware.

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Virtually coupled train set control subject to space-time separation:A distributed economic MPC approach with emergency braking configuration

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High-Speed Railway 2024年第3期2卷 143-152页

作者： Xiaolin Luo Tao Tang Le Wang Hongjie Liu State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong UniversityBeijing 100044China Department of Electrical and Computer Engineering University of CaliforniaRiversideCA 92521USA Beijing Zongheng Electro-Mechanical Technology Development Co. Ltd.Beijing 100081China School of Automation and Intelligence Beijing Jiaotong UniversityBeijing 100044China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong UniversityBeijing 100044China

The emerging virtual coupling technology aims to operate multiple train units in a Virtually Coupled Train Set(VCTS)at a minimal but safe *** guarantee collision avoidance,the safety distance should be calculated using the state-of-the-art space-time separation principle that separates the Emergency Braking(EB)trajectories of two successive units during the whole EB *** this case,the minimal safety distance is usually numerically calculated without an analytic ***,the constrained VCTS control problem is hard to address with space-time separation,which is still a gap in the existing *** solve this problem,we propose a Distributed Economic Model Predictive control(DEMPC)approach with computation efficiency and theoretical ***,to alleviate the computation burden,we transform implicit safety constraints into explicitly linear ones,such that the optimal control problem in DEMPC is a quadratic programming problem that can be solved *** theoretical analysis,sufficient conditions are derived to guarantee the recursive feasibility and stability of DEMPC,employing compatibility constraints,tube techniques and terminal ingredient ***,we extend our approach with globally optimal and distributed online EB configuration methods to shorten the minimal distance among ***,experimental results demonstrate the performance and advantages of the proposed approaches.

关键词： Virtually coupled train set Space-time separation Economic model predictive control Distributed model predictive control Emergency braking configuration

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Wavelet Transformation for Recognizing Various Defects in Diagnosis of Power Transformers

Wavelet Transformation for Recognizing Various Defects in Di...

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International Russian automation Conference (RusAutoCon)

作者： Andrey A. Kuznetsov Maria A. Volchanina Anton V. Gorlov Department “Theoretical electrical engineering” Omsk State Transport University (OSTU) Omsk Russian Federation Department “Automation and control systems” Omsk State Transport University (OSTU) Omsk Russian Federation “Theoretical electrical engineering” Omsk State Transport University (OSTU) Omsk Russian Federation

ISBN: (数字)9798350349818

ISBN: (纸本)9798350349825

The article discusses the use of discrete wavelet transform in diagnosing power oil-filled transformers using automated acoustic monitoring tools. The article is based on the results of experiments using a simulator with an expanded set of defects. Comparison of acoustic signals on a power transformer with signals from a defect simulator made it possible to formulate a criterion for the presence of an insulation defect. An experimental test of the proposed criterion was carried out on signals of various powers and using electrodes of various shapes. The paper presents expressions that implement the criterion for recognizing the type and degree of development of an insulation defect in power transformers. Examples of processing acoustic signals using wavelet transformation in the MatLab program are given. For each type of signals considered, numerical values of the defect recognition criterion are given. At the end of the article, conclusions and prospects for further development of the proposed approach are formulated.

关键词： Substations Shape process control Oil insulation Acoustics Discharges (electric) Discrete wavelet transforms Monitoring Power transformer insulation Matlab

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Skeleton-Based Multi-Stream Adaptive Graph Convolutional Network for Indoor Scene Action Recognition

Skeleton-Based Multi-Stream Adaptive Graph Convolutional Net...

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2023 China automation Congress, CAC 2023

作者： Li, Jiazhuo Chen, Luefeng Li, Min Wu, Min Pedrycz, Witold Hirota, Kaoru The School of Automation The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems The Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Wuhan430074 China The Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada The Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland The Department of Computer Engineering Istinye University Sariyer Istanbul34396 Turkey The Tokyo Institute of Technology Tokyo226-8502 Japan

ISBN: (纸本)9798350303759

With the rapid advances in computer vision, human action recognition has gradually received attention, but the current methods still exhibit some problems in indoor environments. The human skeleton, as the framework of human motion, contains high-quality actional feature information, and the skeleton-based action recognition method effectively avoid the interference of interior background noise and has advantages in indoor action recognition. The outstanding effect of graph convolutional networks on graph structure data processing has led to its rapid development and wide application in skeleton-based action recognition. Second-order skeletal information also contains a large number of actional features but is not effectively utilized. The artificial predefined topology of the human skeleton map has limitations, and cannot reflect the interaction between limbs. To solve the above problems, this article designs an adaptive weighted multi-stream graph convolutional network (AM-GCN) based on skeletal information, using an attention mechanism to enhance the network's ability to extract actional features, and an adaptive layer to make the construction graph more flexible, incorporating second-order skeletal features through a dual-stream architecture. In this article, the NTU-RGB+D dataset has been used for the experiments, the results show that the method in this article has good results. © 2023 IEEE.

关键词： Convolution

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Development of Measurement Device Applied to Radiometric Systems

Development of Measurement Device Applied to Radiometric Sys...

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6th International Conference on Smart Power and Internet Energy Systems, SPIES 2024

作者： Mustafa, Thair I. A. H. Cabral, Sergio H. L. Almaguer, Hugo A. D. Meyer, Luiz H. Pitz, Ciro Gili, Cleiton Fischer, Marcel V. T. University of Blumenau Department of Electrical Engineering Blumenau Brazil Federal University of Santa Catarina Department of Control Automation and Computation Engineering Blumenau Brazil Gili Energy Electronics Presidente Nereu Brazil Cpfl Transmission Department of System Operation Porto Alegre Brazil

ISBN: (纸本)9798350368864

This work presents the main stages of the development of a new radiometric system, based on a new measurement device for replacing the digital oscilloscope. Once triggering principles of the commercially available digital oscilloscopes are not adequate for totally guaranteeing the recording of the irradiated electromagnetic field from the circuit breaker chambers, the main topic of this paper. This achievement represents a new generation of radiometric measurement systems applied to the assessment of power circuit breakers. Because of the non-invasive nature of this kind of assessment radiometric measurements are likely to be widely deployed in power systems because it eliminates the need for equipment under analysis in stopping its operation. Moreover, results obtained from the deployment of the new system on power substations are shown. © 2024 IEEE.

关键词： Radiometry

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Plate Shape Prediction Based on Data-Driven in Roll Quenching process

Plate Shape Prediction Based on Data-Driven in Roll Quenchin...

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2023 China automation Congress, CAC 2023

作者： Hu, Liu Chen, Luefeng Hu, Jie Wu, Min Pedrycz, Witold Hirota, Kaoru School of Automation Ministry of Education China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems The Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6R 2G7 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University The Department of Computer Engineering Istanbul Sariyer34396 Turkey Tokyo Institute of Technology Tokyo Yokohama226-8502 Japan

ISBN: (纸本)9798350303759

In the process of steel plate production, predicting the plate shape is of great significance for producing high-quality and consistently stable plate shapes. This paper presents a model that predicts both the defect types and flatness of the plate, providing theoretical support for setting process parameters in roller quenching production. First, the parameters of the quenching process are analyzed to identify their characteristics. Then, the K-Means clustering algorithm and correlation analysis are employed to process the quenching process parameters. A gradient boosting decision tree (GBDT) model is used to predict the defect types and flatness of the steel plates. Finally, industrial production data is utilized for experimental validation. The obtained experimental results verify the reliability of the proposed method. © 2023 IEEE.

关键词： Decision trees

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Development of Measurement Device Applied to Radiometric Systems

Development of Measurement Device Applied to Radiometric Sys...

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Smart Power & Internet Energy Systems (SPIES), International Conference on

作者： Thair I. A. H. Mustafa Sergio H. L. Cabral Hugo A. D. Almaguer Luiz H. Meyer Ciro Pitz Cleiton Gili Marcel V. T. Fischer Department of Electrical Engineering University of Blumenau Blumenau Brazil Department of Control Automation and Computation Engineering Federal University of Santa Catarina Blumenau Brazil Gili Energy Electronics Presidente Nereu Brazil Department of System Operation CPFL Transmission Porto Alegre Brazil

ISBN: (数字)9798350368864

ISBN: (纸本)9798350368871

关键词： Power measurement Measurement units Substations Circuit breakers Oscilloscopes Radiometry Hardware Software Software measurement Transient analysis

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Molecular Imprinted Polymer on Optical Fiber Sensor for Ethanol Vapor Biomarker Detection

Molecular Imprinted Polymer on Optical Fiber Sensor for Etha...

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IEEE SENSORS

作者： Pannathorn Jitpratak Akhilesh Kumar Pathak Kankan Swargiary Charusluk Viphavakit Department of Biomedical Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Department of Mechanical Engineering Center for Smart Structures and Materials Northwestern University Evanston IL USA Faculty of Engineering International School of Engineering (ISE) Intelligent Control Automation of Process Systems Research Unit Chulalongkorn University Bangkok Thailand

An optical fiber sensor with a single mode-multimode-single mode (SMS) structure is proposed to detect ethanol vapor ranging between 100–500 ppm via the evanescent field interaction at the interface between the optical fiber and ethanol vapor. The proposed optical fiber sensor offers real-time and non-invasive monitoring of ethanol vapor, which is one of the biomarkers of diabetes. Molecular imprinted polymer (MIP) is coated at a multimode fiber region, which is considered to be a sensing area, to improve the selectivity of the ethanol biomarker. The sensor works based on wavelength interrogation by detecting the change in wavelength due to the change in vapor concentration. The fabricated sensor has a sensitivity of 0.0013 nm/ppm, which suggests the potential to be used as a monitoring device for breath analysis.

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DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing

arXiv

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arXiv 2024年

作者： Zhou, Junjie Wang, Lin Meng, Qiang Wang, Xiaofan Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Department of Automation Shanghai Jiao Tong University School of Mechatronic Engineering and Automation Shanghai University School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai201418 China Department of Civil and Environmental Engineering National University of Singapore Singapore117576 Singapore

Generating realistic and diverse road scenarios is essential for autonomous vehicle testing and validation. Nevertheless, owing to the complexity and variability of real-world road environments, creating authentic and varied scenarios for intelligent driving testing is challenging. In this paper, we propose DiffRoad, a novel diffusion model designed to produce controllable and high-fidelity 3D road scenarios. DiffRoad leverages the generative capabilities of diffusion models to synthesize road layouts from white noise through an inverse denoising process, preserving real-world spatial features. To enhance the quality of generated scenarios, we design the Road-UNet architecture, optimizing the balance between backbone and skip connections for high-realism scenario generation. Furthermore, we introduce a road scenario evaluation module that screens adequate and reasonable scenarios for intelligent driving testing using two critical metrics: road continuity and road reasonableness. Experimental results on multiple real-world datasets demonstrate DiffRoad’s ability to generate realistic and smooth road structures while maintaining the original distribution. Additionally, the generated scenarios can be fully automated into the OpenDRIVE format, facilitating generalized autonomous vehicle simulation testing. DiffRoad provides a rich and diverse scenario library for large-scale autonomous vehicle testing and offers valuable insights for future infrastructure designs that are better suited for autonomous vehicles. Copyright © 2024, The Authors. All rights reserved.

关键词： Automobile testing

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Robust H∞ controller Design With Regional Pole-Placement for Quarter Car Active Suspension System

Robust H∞ Controller Design With Regional Pole-Placement fo...

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control Conference (ANZCC), Australian and New Zealand

作者： Sonali Singh Ganta Jane Gladys P P Gouri Jitendra Kumar Goyal Ankit Sachan Surender Hans Shubhi Purwar Neeraj Gupta Department of Electical Engineering M.N. National Institute of Technology Allahabad Prayagraj India Department of Control and Automation School of Electrical Engineering Vellore Institute of Technology Vellore Tamil Nadu India Department of Electronics and Communication Engineering Poornima College of Engineering Jaipur India Graduate School of Advanced Science & Engineering Hiroshima University Japan Department of Electical Engineering Ajay Kumar Garg Engineering College Ghaziabad India

In the modern world, automobile suspension holds crucial importance in uplifting a cars ride comfort and handling ability. Active suspension can doubtless enhance the driving quality and traveler comfort at the same time. Its a fourth-order advanced system that requires a highly accurate and precise robust control technique. This work presents a highly robust $H_{\infty}$ controller proposed for a quarter car active suspension system and a comparison of it with the prevailing LQR controller design. Also, the design criteria to enhance the transient performance of the system consist of the concept of regional pole placement. controller behavior is examined through simulation setup using MATLAB/Simulink. Simulation results are shown to explain the efficacy of the developed design.

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