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International Conference on Industrial engineering, Applications and Manufacturing (ICIEAM)

作者： Grigory P. Okhotkin Mikhail S. Portnov Lidia N. Vasileva dept. of Automation and Control in Technical Systems Ulianov Chuvash State University Cheboksary Russia

ISBN: (数字)9798350395013

ISBN: (纸本)9798350395020

The article is devoted to the development of a hardware and software complex for prototyping an unregulated asynchronous electric drive. The design technology is presented in three stages: development of a simulation model of the electric drive power circuit; development of an abstract automaton for electric drive control and generation of the machine's program code; creation of a software and hardware complex and emulation of the operation of an electric drive. The development of a simulation model of the electric drive power circuit was carried out in the Matlab-Simulink environment based on the operating algorithm of a typical circuit of an unregulated reversible asynchronous electric drive. An abstract automaton for controlling an electric drive is developed using the theory of automata, the mathematical model of which is presented in the form of a combined table of transitions and outputs and a transition graph, which is implemented in Stateflow. The machine code was generated for the CodeSys controller-programming environment. To test the resulting machine program, a visualization of the control and display panel was created. The software and hardware complex of the electric drive is developed using OPC technologies for inter-program data exchange between Matlab-Simulink and CodeSys. The article presents the results of emulating the operation of a prototype electric drive in all possible modes of its operation.

关键词： Codes Software packages Process control Automata Prototypes Hardware Mathematical models

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In vitro comparative study of activated clotting time in fresh human whole blood with various levels of coagulability using two devices

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Journal of Biorheology 2022年第2期36卷 39-44页

作者： Watanabe, Nobuo Inoue, Masataka Honda, Masaki Masnok, Kriengsak Negishi, Teruhiko Dept. of Bio-Science and Engineering College of Systems Engineering and Science Shibaura Institute of Technology Japan Dept. of Life Sciences Systems Engineering and Science Graduate School of Engineering and Science Shibaura Institute of Technology Japan Biofluid Science and Engineering Laboratory Functional Control Systems Graduate School of Engineering and Science Shibaura Institute of Technology Japan Negishi Internal Medicine and Neurology Clinic Saitama Japan

With increasing demand for a variety of clinical diagnostics related to blood coagulability such as activated clotting time (ACT), several measurement devices have been developed. Recently, a new ACT measurement device, the Coagulometer CA-200, has become available. One issue is that there will inevitably be differences in measured ACT values among different devices. In addition, as ACT measurement becomes more widely used in clinical practice, measurement of blood coagulation will be required in patients with a wider range of blood coagulability. Consequently, the purpose of this study was to investigate blood coagulability as the function of protamine dose in heparin sodium-treated fresh human blood and to examine the correlation between measured ACT values from two devices, namely, the Coagulometer CA-200 and Hemochron Jr. Signature+. The results showed similar ACT curves as the dose of protamine was increased, becoming asymptotic at higher coagulability conditions. Under the theoretical maximal procoagulant condition, ACT values were 108 ± 22.5 and 122 ± 11 s for the CA-200 and Hemochron devices, respectively. In blood with the maximum heparin sodium content of 7 U/mL, the measured ACT was 800 and 600 s for the respective devices. Furthermore, there was a linear relationship between the ACT measurements of the two devices. This study clearly showed the feasibility of measurement with the CA-200 and its relatively higher resolution in low coagulability conditions. © Japanese Society of Biorheology 2022.

关键词： Sodium

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Synchronization of Measuring Devices for Forensic Crash Testing 5

Synchronization of Measuring Devices for Forensic Crash Test...

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5th IEEE International Conference on Communications, Information, Electronic and Energy systems, CIEES 2024

作者： Vestenicky, Peter Kolla, Eduard University of Žilina Faculty of Electrical Engineering and Information Technology Dept. of Control and Information Systems Žilina Slovakia University of Žilina Institute of Forensic Research and Education Žilina Slovakia

ISBN: (纸本)9798350352863

The measurement of the dynamic parameters of vehicle motion is usually carried out by measuring the velocity of motion, accelerations and angular velocities in all three axes. For research applications, e.g. the DAS-3 with microwave velocity sensor from Corrsys Datron GmbH (now part of the Kistler Group) and the PicDaq5 from Dr. Steffan Datentechnik GmbH are used for this purpose. If the movement of the vehicle also needs to be documented by video, these three measuring devices need to be synchronized in time, e.g. by light pulses for the video and electrical pulses for the speed and acceleration meters. This paper describes the technical solution of the synchronization device, triggered manually during driving tests or by a ribbon switch in the case of measurements during crash tests. © 2024 IEEE.

关键词： Microwave sensors

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Analysis of Contactless Measurement Accuracy of RFID Transponder Resonant Frequency and Quality Factor 5

Analysis of Contactless Measurement Accuracy of RFID Transpo...

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5th IEEE International Conference on Communications, Information, Electronic and Energy systems, CIEES 2024

作者： Vestenicky, Peter Palecek, Juraj University of Žilina Faculty of Electrical Engineering and Information Technology Dept. of Control and Information Systems Žilina Slovakia Amicus SK s.r.o. Skalica Slovakia

ISBN: (纸本)9798350352863

The article analyses the accuracy of contactless measurement of resonant frequency and quality factor of RFID transponders in a simplified measuring circuit that does not use an impedance meter nor vector network analyser. The described measurement does not use compensation for the influence of the measuring circuit on the results. This creates a systematic measurement error, the value of which is analysed. Such simplified measuring circuit is used for fast testing of the finalized RFID transponders in the factory when contact measurement is no longer possible. The measuring circuit works like a band-stop (notch) filter, and to measure the parameters of RFID transponders, it is sufficient to measure the absolute value of the transfer function, e.g. using a signal generator and a voltage level meter, but a spectrum analyser with a tracking generator can be faster alternative. The results of the analysis show the influence of individual parameters of the measuring circuit, including the parasitic ones, on the accuracy of the resonant frequency and quality factor measurement. © 2024 IEEE.

关键词： Transponders

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Application of the YOLOv5 Neural Network for Pattern Recognition on Radiographic Images of the Human Wrist Joint

Application of the YOLOv5 Neural Network for Pattern Recogni...

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International Conference of Signal Processing and Intelligent systems (ICSPIS)

作者： Alena S. Krasnoperova Andrey V. Kamenskiy Dept. of Television and Control Laboratory of television automation Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (数字)9798331532543

ISBN: (纸本)9798331532550

The possibility of using artificial intelligence in the task of recognizing objects of interest in medical radiographic images has been studied. To implement computer vision, the YOLOv5 neural network and the use of its functionality for pattern recognition on radiographic images of the human wrist joint were considered. YOLOv5 is one of the most popular neural network models due to a number of advantages and features: high learning speed, object detection accuracy, efficient use of hardware and support for various architectures. The use of an artificial neural network in medicine is a promising direction that allows one to obtain data on pathologies and anomalies on radiographs, improving the diagnostic process and providing quick results with a high percentage of reliability. To adapt the model for the task of recognizing objects of the wrist joint in radiographic images, a data set was labeled, including images for retraining the neural network model and test images. Learning key numerical properties is key to building and tuning effective neural network models. The correctness of their selection and debugging have a direct impact on achieving the desired results when retraining and using neural networks. According to the results of the neural network, all classes of objects were correctly identified in more than 70% of the images; this indicator is a worthy result of the work, which confirms the relevance of using a computer vision tool in medical diagnostics and practical application in clinical practice.

关键词： Wrist YOLO Adaptation models Image recognition Neural networks Bones Pattern recognition Numerical models Object recognition Joints

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INN: A Deep Correction Network for High-Dynamic Inertial Navigation 4

INN: A Deep Correction Network for High-Dynamic Inertial Nav...

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4th International Conference on Industrial automation, Robotics and control engineering, IARCE 2024

作者： Gu, Tao Cong, Li Yang, Jing Guo, Yuzhu Wang, Lina School of Automation Science and Electrical Engineering Beihang University Beijing China School of Electronic Information Beihang University Engineering dept. Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing China

ISBN: (纸本)9798350380323

Inertial navigation has gained extensive application because it solely relies on built-in Inertial Measurement Unit (IMU) devices. Nevertheless, due to its inherent accumulative integral error, inertial navigation is often integrated with other external devices in practical situations, which unfortunately leads to unavoidable privacy breaches. To address these issues, an Inertial Navigation Neural Network (INN) is designed to generate high-precision position estimations without relying on any other auxiliary information. The INN model consists of attitude correction and velocity regression modules. The attitude module employs a convolutional network to correct the attitude information, and the obtained rotation matrices are then fed into a recurrent neural network to regress incremental velocities and produce high-precision positions. The proposed model is validated on the simulated trajectories based on the Precise Strapdown Inertial Navigation System (PSINS) toolbox. Experimental studies demonstrated that the proposed method has a significant corrective effect on high-dynamic strapdown inertial navigation settings. The accumulated position errors are an order of magnitude smaller than those of traditional track reckoning algorithms and achieved a comparable performance with integrated navigation. © 2024 IEEE.

关键词： Inertial navigation systems

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Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy systems

Towards Reliable Uncertainty Quantification and High Precisi...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Batuhan Avcı Aykut Beke Tufan Kumbasar Control and Automation Engineering Dept. Istanbul Technical University Istanbul Turkey Control Systems Design Dept. ASELSAN Inc. Ankara Turkey

Deep learning models have been successfully developed to solve complex problems with the main focus on high precision. Yet, accurately assessing uncertainty and prediction is essential for making informed decisions, especially in high-risk tasks. In this paper, we present a step towards learning reliable uncertainty quantification and high precision performance via α- plane based General Type-2 Fuzzy Logic systems (GT2-FLSs). To balance between accuracy and uncertainty quantification, we propose a novel composite loss function consisting of an accuracy-focused and uncertainty-focused loss term that exploits the parameters of the Secondary Membership Functions (SMFs). For the uncertainty-focused term, we use only the type-reduced set of α 0 = 0 plane of the GT2-FLS, i.e. the size of the SMFs, which does not contribute to the output calculation directly. In the accuracy-focused part, we present two options for the error terms. One uses the aggregated output while the other uses only the output α K = 1 plane of the GT2-FLS. In both terms, we make the SMF shape parameters responsible for learning pointwise prediction. We present statistical comparisons and demonstrate that the learned GT2-FLSs generate reliable prediction intervals while also resulting in high-precision performance. The results show the potential of the proposed approach for GT2-FLS as a promising solution for making reliable predictions in real-world applications.

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Energy Management of Autonomous Electric Vehicles by Reinforcement Learning Techniques 2

Energy Management of Autonomous Electric Vehicles by Reinfor...

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2nd International Conference on Sustainable Mobility Applications, Renewables and Technology, SMART 2022

作者： Alonso, Monica Amaris, Hortensia Martin, David De La Escalera, Arturo University Carlos Iii Dept. of Electrical Engineering Madrid28911 Spain University Carlos Iii Dept. of Systems Engineering and Automation Madrid28911 Spain

ISBN: (数字)9781665471466

ISBN: (纸本)9781665471466

The increase in e-mobility poses new challenges to power grid operators who must cope with the variability and uncertainty of renewable energy sources and customer demand and the electric vehicle integration into the grid. In this paper a Reinforcement Learning algorithm based on Principal Policy optimization is proposed for energy management of electric vehicles and PV storage units. The RL algorithm considers the vehicle battery constraints, range anxiety and battery aging constraints. Moreover, the algorithm controls the charging of the photovoltaic storage unit to minimize the PV energy curtailment. Results show the improvement of the proposed algorithm compared to Business-as-usual and value-iteration solutions. © 2022 IEEE.

关键词： Energy management

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Mitigating Non-linear DAC Glitches Using Dither in Closed-loop Nano-positioning Applications

Mitigating Non-linear DAC Glitches Using Dither in Closed-lo...

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American control Conference (ACC)

作者： Ahmad Faza John Leth Arnfinn A. Eielsen Dept. of Energy and Petroleum Engineering University of Stavanger Norway Dept. of Electronic Systems Automation & Control Aalborg University Denmark

Digital-to-analog conversion is essential in digital signal processing applications, including closed-loop control schemes. Noise and distortion in digital-to-analog converters result in reduced performance for high-precision mechatronics such as nano-positioning. Glitches are common in practical switched systems such as digital-to-analog converters; observed as an output disturbance. Due to the wide-bandwidth, impulse-like behavior, control law bandwidth is generally too low to provide adequate attenuation; deteriorating open and closed-loop performance. This article demonstrates how large-amplitude high-frequency periodic dither mitigates the effect of glitches in a nano-positioning system under closed-loop control. Simulations are performed using a model that includes significant non-linearities with a response fitted to an off-the-shelf commercial device, as well as using standard linear time-invariant models for other system components fitted to the responses of common, commercially available devices. The results highlight the significance of reconstruction filter design when applying dithering in this setting.

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Criterion for Sufficiently Large Dither Amplitude to Mitigate Non-linear Glitches

Criterion for Sufficiently Large Dither Amplitude to Mitigat...

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control Technology and Applications (CCTA),

作者： Ahmad Faza’ John Leth Arnfinn A. Eielsen Dept. of Energy and Petroleum Engineering University of Stavanger Norway Dept. of Electronic Systems Automation & Control Aalborg University Denmark

A model describing glitch disturbances is introduced and analysed. The model is used to find the response of glitch disturbances when adding a periodic dither to the input and applying low-pass filtering to the output. This averaged response is used to find a criterion to determine a sufficiently large dither amplitude that will make the averaged glitch disturbances appear as a constant on the output of the low-pass filter. An important resulting property is that the averaged response to glitch disturbances is independent of the model input. By fitting the model to the measured response of a common off-the-shelf digital-to-analogue converter, simulations are used to verify the analytical results.

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