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Influence of shielding on the dependence of capacitance of planar capacitor on a distance of a measured object

IFAC-PapersOnLine 2022年第4期55卷 158-163页

作者： V. Mancl P. Beneš Department of Control and Instrumentation Faculty of Electrical Engineering Brno University of Technology Brno Czech republic

This article deals with the topic of the shielding effect of electrodes in the design of capacitance sensors. The main focus of the article is the phenomenon, which occurs when placing shielding electrodes between planar capacitor electrodes. This phenomenon naturally occurs when the multi-electrode setup is being used. Such setup is used in electronic capacitance tomography (ECT). The first part of the article briefly describes the theoretical attributes of a planar capacitor. Then the model of the multi-electrode system is explained. Subsequently, the experiment during which the phenomenon was observed, is being described. The real measurement is then compared to the simulation of the equal setup. Results, implications, and possible explanations are being discussed in the conclusion.

关键词： Ansys Electronics Desktop Capacity sensor Capacity to digital converter Electric capacitance tomography, Planar capacitor Shielding

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In-Bed Posture Classification Based on Sparse Representation in Redundant Dictionaries

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IFAC-PapersOnLine 2022年第4期55卷 374-379页

作者： O. Mihálik T. Sýkora M. Husák P. Fiedler Department of Control and Instrumentation Faculty of Electrical Engineering Brno University of Technology Brno Czech republic

Non-orthogonal signal representation using redundant dictionaries gradually gained popularity over the last decades. Sparse methods find major application in signal denoising, audio declipping, time-frequency analysis, and classification, to name a few. This paper is inspired by the exceptional results of sparse representation classification originally suggested for face recognition. We compare the method to other common classifiers using simulated as well as real datasets. In the latter the proposed method is tested with real pressure data from a bed equipped with a matrix of 30 × 11 pressure sensors. Here the method outperforms standard classification methods (surpassing 91 % accuracy) without need of parameter selection or special user's skills. Furthermore it offers a means of dealing with occlusions, whose results are presented as well.

关键词： sparse representation redundant dictionary SRC posture classification denoising

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Design and Implementation of the Reactive Asset Administration Shell using JSON-based Database

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IFAC-PapersOnLine 2024年第9期58卷 211-216页

作者： J. Arm P. Cernocky V. Kaczmarczyk O. Bastan F. Rusnak P. Fiedler Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Central European Institute of Technology Brno University of Technology Brno Czech Republic

In 2021, the document Details of the Asset Administration Shell - Part 2 was released, which forms the standard for the REST API interface of the reactive AAS (Asset Administration Shell) technology. The standard contains a prescription of functions and their parameters for working with AAS of the reactive part in a standardized way. Design and implementation of the passive part, or the use of OPC UA is still the subject of discussions and solutions can be found to partial problems. In this article, we designed and implemented AAS using an internal database as a model provider and a basic set of REST API functions according to the standard. The implementation took place in the Python environment, building on the open source Python BasyxSDK. The proposal enables work with standard AAS data types in the form of the format used by JSON technology; the assumption is that AAS could be serialized in the form of JSON file. The result is a standalone piece of AAS that can be deployed on an dedicated device complying the principles of Industry 4.0.

关键词： AAS Asset Administration Shell REST API Industry 4.0 Python

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MPPT Algorithms for Wind Turbines: Review and Comparison 29

MPPT Algorithms for Wind Turbines: Review and Comparison

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29th International Workshop on Electric Drives: Advances in Power Electronics for Electric Drives, IWED 2022

作者： Aleksandr, Lukin Demidova, Galina Alassaf, Omar Lukichev, Dmitry Rassolkin, Anton Vaimann, Toomas ITMO University Faculty of Control System and Robotics Saint-Petersburg Russia Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia

ISBN: (纸本)9781665467865

Wind turbines play an important role in energy generation using renewable sources. The wind is very changeable, and such turbines require techniques for finding and tracking maximum power density. The presented work includes an overview of maximum power point tracking techniques applicable to small-size wind turbines based on the Magnus effect. An overview of existing algorithms is presented. Overviewed algorithms are assessed using a simulation in MATLAB with a model of the experimental Magnus effect wind turbine. © 2022 IEEE.

关键词： Wind power

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A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers

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Energy and AI 2023年第4期14卷 221-237页

作者： Zhenglong Sun Ram Machlev Qianchao Wang Juri Belikov Yoash Levron Dmitry Baimel Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)JilinChina The Andrew and Erna Viterbi Faculty of Electrical&Computer Engineering Technion-Israel Institute of TechnologyHaifa 3200003Israel Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and EnvironmentSoutheast UniversityNanjing210096China Department of Software Science Tallinn University of TechnologyAkadeemia tee 15a12618 TallinnEstonia Department of Electrical and Electronics Engineering Sami Shamoon College of EngineeringBeer-Sheva84100Israel

In the last two decades,motor operation monitoring tools have become a necessity,and many studies focus on the detection and diagnosis of motor electrical ***,at present,a core obstacle that prevents the direct comparison of such classification techniques is the lack of a standard database that can be used as a *** view of this,we offer here a public experimental data-set that has beendesigned specifically for the comparison of synchronous motor electrical fault *** data-set comprises five types of motor electrical faults:open phase between inverter and motor;short circuit/leakage current between two phases;short circuit/leakage current in phase-to-neutral;rotor excitation voltage disconnection;and variation of rotor excitation *** addition,each fault has been recorded as a four-dimensional signal:three phase voltages;three phase currents;motor speed;and motor *** package includes two deep-learning reference classifiers that are based on a convolutional neural network(CNN)and long short term memory(LSTM).Due to the good performance of these classifiers,we suggest that they can be used by the community as benchmarks for the development of new and better motor electrical fault classification *** database and the reference classifiers are examined and insights regarding different combinations of features and lengths of recording points are *** developed code is available online,and is free to use.

关键词： Motor faults Synchronous motors Public data-set Classification Deep-learning CNN LSTM

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Asset Administration Shell as the Key Enabler of the Industry 4.0 Phenomenon

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IFAC-PapersOnLine 2024年第9期58卷 275-280页

作者： J. Arm V. Kaczmarczyk T. Benesl P. Marcon M. Jirgl Z. Bradac Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Central European Institute of Technology Brno University of Technology Brno Czech Republic

With the advent of the Industry 4.0 concept, the digitization of industrial production enterprises and the development of technologies that enabled the transformation of production into a so-called smart factory accelerated. One of the core components of this modern factory is the I4.0 component consisting of a resource and its virtual envelope (AAS). It is the virtual envelope that forms the complex digital twin of the resource and enables interaction with the environment. The AAS standard is gradually being formed, while there are already parts enabling the design and implementation of the so-called passive part of AAS. Using the theory, the original idea is transformed into a semi-formal description, which can already be implemented in various applications. Other technologies such as OPC UA, REST API, TSN are connected with AAS and its deployment, which ensure communication and the implementation itself. This paper discusses various aspects that are related to the role, design and implementation of AAS in various applications.

关键词： AAS Asset Administration Shell Industry 4.0 OPC UA Digital Twin

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Design of Image-Based Autonomous Landing instrumentation and control system for Unmanned Quadrotor Vehicles

Design of Image-Based Autonomous Landing Instrumentation and...

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Information Technology International Seminar (ITIS)

作者： Ihsan M. Fauzan Faqihza Mukhlish Aditya Prayoga Robby Azhari Ahmad Instrumentation and Control Master Program Faculty of Industrial Technology Institut Teknologi Bandung Engineering Physics Research Group and Center for Instrumentation Technology and Automation Institut Teknologi Bandung Engineering Department PT. Sas Aero Sishan

ISBN: (数字)9798331521295

ISBN: (纸本)9798331521301

The study designs an instrumentation and control system for autonomous quadrotor landing using a visual marker as the landing target. For landing process, the marker used as a landing target is an embedded ArUco marker, capable for detection for both long range and close-range detection. Position of the quadrotor relative from the ArUco marker is estimated using Perspective-N-Point pose estimation. The estimation errors compared to actual measurements are under 20 cm, which is less than the distance between ArUco border and its center. To keep camera for facing downward during the flight, the 2 axis inertially stabilization platform (ISP). The designed ISP can maintain the camera orientation even when quadrotor angle has changed. The landing control system is made for two different scenarios. First scenario is for landing with Global Positioning system (GPS) support, and the second scenario is without GPS support. The landing control system in GPS support scenario uses velocity setpoint to control the quadrotor while in without GPS support scenario, control system uses angle-thrust setpoint to control quadrotor. Quadrotor landing control system can attempt landing on top of the ArUco marker in both scenarios. The trajectory Mean Average Error (MAE) of x and y coordinates and radius of the landing process is (0.108, 0.326, 0.359) m for GPS support scenario and (0.301, 0.251, 0.436) m for without GPS support scenario.

关键词： Seminars Visualization Instruments Pose estimation Process control control systems Cameras Trajectory Quadrotors Global Positioning system

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Liquid Filling Quality control system for Beverage Industry Using Image Processing (CNN)

Liquid Filling Quality Control System for Beverage Industry ...

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International Conference on control, Automation and systems ( ICCAS)

作者： B. Chatchapol W. Autanan W. Anan Department of Electrical Engineering Faculty of Electric Engineering Rajamangala University of Technology Lanna Chiang Mai Thailand Robotics Engineering and AI Faculty of Engineering Chiang Mai University Chiang Mai Thailand Department of Electronic Engineering and Automation Control System Faculty of Engineering Rajamangala University of Technology Lanna Chiang Mai Thailand

ISBN: (数字)9788993215380

ISBN: (纸本)9798331517939

The beverage industry has been leveraging automation to enhance production efficiency. An essential advancement involves the use of AI and image processing to ensure the high quality of products. Image processing systems employ sophisticated algorithms to meticulously inspect specific aspects of the production process (liquid level, lid sealing, text print). The CNN algorithm is primarily utilized to scrutinize water bottle images to verify their quality. Maintaining consistent production speed poses a challenge, underscoring the importance of examining the image processing system from various perspectives. The research proposed implementing a system that oversees liquid filling quality through an image processing algorithm, a camera module, and conveyor belt speed control to address. This system monitors liquid levels and bottle capping while the production line is operational. On average, the system achieves a 98.89 percent accuracy rate in detecting liquid levels and a 100 percent accuracy rate in sealing the lids. Furthermore, the conveyor speed control can adjust automatically to detect variations in product movement speed.

关键词： Liquids Image processing Velocity control Production Quality control Inspection Belts Filling Beverage industry Monitoring

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Integrating GPS and Reference Point Data for Localization: A Study on Probabilistic Observation and Transmission in Locational Context

Integrating GPS and Reference Point Data for Localization: A...

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Asian control Conference

作者： Aulia Rahma Jumardi Nadana Ayzah Azis Yul Yunazwin Nazaruddin Vebi Nadhira Faculty of Industrial Technology Instrumentation and Control Master Program Institut Teknologi Bandung Bandung Indonesia Faculty of Industrial Technology Engineering Physics Doctoral Program Institut Teknologi Bandung Bandung Indonesia Department of Engineering Physics Instrumentation Control and Automation Research Group Institut Teknologi Bandung Bandung Indonesia

ISBN: (数字)9789887581598

ISBN: (纸本)9798331540845

To enhance the accuracy of vehicle localization, this research proposes a map matching system with a distinct architecture involving four key stages. Each GPS point creates a local map, and the system detects reference points within that map, subsequently calculating Euclidean distances and determining observation and transmission probabilities. The matching results yield the actual position of the vehicle on the map. The localization algorithm incorporates distance computation using a sliding window technique, observation probability based on proximity between GPS and reference points, and transmission probability to minimize errors. The study employs real-world tests in Bandung, Indonesia, demonstrating successful correction of GPS positions using the proposed method. In conclusion, this research provides a significant contribution in enhancing the accuracy of autonomous vehicle localization. By employing a probabilistic approach to observation and transmission, the method effectively corrects the vehicle's position, compensating for potential inaccuracies introduced by GPS. The utilization of a local map also proves impactful by including reference point positions, resulting in more precise outcomes. From the conducted field tests, all GPS points are accurately detected in their actual positions where there are seven GPS points do not match to vehicle trajectory, after the matching process, all point positions are successfully corrected, ensuring accurate localization by the system.

关键词： Location awareness Accuracy Computer architecture Probability Probabilistic logic Trajectory Autonomous vehicles

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An Intelligent Robot Assisting Medical Practitioners to Aid Potential Covid-19 Patients 6

An Intelligent Robot Assisting Medical Practitioners to Aid ...

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6th International Conference on Image Information Processing, ICIIP 2021

作者： Sowrabh, S. Rameshkumar, Ashith Athira, P.V. Jishnu, T.B. Anish, M.N. UPES MTech in Robotics and Automation School of Engineering Dehradun India NSSCE Bachelor of Technology in Instrumentation Control Engineering Department Palakkad India Assistant System Engineer-trainee TCS Limited Kochi India NSSCE Instrumentation Control Engineering Department Palakkad India

ISBN: (纸本)9781665433617

The purpose of this paper is to develop a robot-nurse capable of assisting human health professionals in a COVID-19 isolation unit such that health care professionals may discontinue wearing the personal protective kit that they previously wore when dealing with patients at isolation units. The robot can perform most of the tasks carried out by human nurses in a hospital. It can take a patient's temperature without touching them, administer medicines at the appropriate time, assist in sanitizing the individual and their hands, and offer a section for sterilizing medical equipment. [14] © 2021 IEEE.

关键词： Nursing

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