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arXiv 2024年

作者： Ortega, Romeo Bobtsov, Alexey Castaños, Fernando Nikolaev, Nikolay Department of Electrical and Electronic Engineering ITAM Ciudad de México Mexico The Hangzhou Dianzi University ITMO Joint Institute Xiasha Higher Education Zone Zhejiang Hangzhou China Faculty of Control Systems and Robotics ITMO University Kronverkskiy av. 49 St. Petersburg197101 Russia The Departamento de Control Automático IPN Cinvestav Mexico The Faculty of Control Systems and Robotics ITMO University Kronverkskiy av. 49 St. Petersburg197101 Russia

In this paper, we apply the recently developed generalized parameter estimation-based observer design technique for state-affine systems to the practically important case of linear time-varying descriptor systems with uncertain parameters. We give simulation results of benchmark examples that illustrate the performance of the proposed adaptive observer. © 2024, CC BY-NC-ND.

关键词： Parameter estimation

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Fault Detection in Electric Drives Based on LSTM Autoencoder Model Machine Learning Approach

Fault Detection in Electric Drives Based on LSTM Autoencoder...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Galina Demidova Daniil Privalov Denis Semenov Dmitry Lukichev Zhitao Liu Alecksey Anuchin Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia Institute of Cyber-Systems & Control Zhejiang University Hangzhou China Department of Electric Drives Moscow Power Engineering Institute Moscow Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

Fault detection in electric drives is crucial for ensuring operational reliability and minimizing downtime. This paper provides a brief overview of the methods based on machine learning used for fault detection in electric drives. Additional this research presents a machine learning approach that utilizes the Long Short-Term Memory Autoencoder model for fault detection deal with bearing faults. A flowchart illustrating the implementation steps of the Long Short-Term Memory Autoencoder algorithm is included. Additionally, a case study on bearing faults in an electric drive system is presented to demonstrate the advantage of the proposed approach. By training the Long Short-Term Memory Autoencoder on operational data, accurate prediction of bearing faults is achieved, enabling timely maintenance interventions. It is shown that in the 7th epoch of training, the model achieved a notably high accuracy more than $\mathbf{9 9 \%}$. The results highlight the potential of Long Short-Term Memory Autoencoder models as a valuable tool for fault detection in electric drives, thereby improving system reliability and performance.

关键词： Training Vibrations Fault diagnosis Machine learning algorithms Fault detection Machine learning Prediction algorithms

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Stability analysis and stabilization of systems with hyperexponential rates

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IFAC-PapersOnLine 2023年第2期56卷 815-820页

作者： K. Zimenko D. Efimov A. Polyakov Faculty of Control Systems and Robotics ITMO University St. Petersburg Russian Federation Inria Univ. Lille CNRS UMR 9189 - CRIStAL F-59000 Lille France

Hyperexponential stability is investigated for dynamical systems with the use of both, explicit and implicit, Lyapunov function methods. A nonlinear hyperexponential control is designed for stabilizing linear systems. The tuning procedure is formalized in LMI form. Through numeric experiments, it is observed that the proposed hyperexponential control is less sensitive with respect to noises and discretization errors than its finite-time analog. It also demonstrates better performance in the presence of delays as well. Theoretical results are supported by numerical simulations.

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Analysis of fast prototyping of microcontroller-based ML software for acoustic signal classification 26

Analysis of fast prototyping of microcontroller-based ML sof...

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26th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2023

作者： Marciniak, Filip Marciniak, Wojciech Marciniak, Tomasz Poznan University of Technology Faculty of Computing and Telecommunications Poznań60-965 Poland Poznan University of Technology DECYBEL Science Club Poznań60-965 Poland Poznan University of Technology Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Poznań60-965 Poland

ISBN: (纸本)9798350304985

The paper analyzes the preparation of software for acoustic signal classification with machine learning techniques for microcontrollers. The design process was tested for three types of devices: Nordic Thingy:53, *** and Arduino Nano 33 BLE Sense Lite. The classifier training process was carried out using the Edge Impulse platform. Experimental studies were carried out for the process of classifying sound signals generated by the vacuum cleaner motor. The results of the training and the model test were presented for different configurations. © 2023 Division of Signal Processing and Electronic systems, Poznan university of Technology (DSPES PUT).

关键词： Microcontrollers

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Performance Validation of Wireless Power Transfer for UAVs Charging System Considering Misalignments

Performance Validation of Wireless Power Transfer for UAVs C...

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Power, control and Computing Technologies (ICPC2T), Conference on

作者： Alexander V. Zolotarev Eugene A. Koreshin Sutanu Chatterjee Jackson J. Justo Galina L. Demidova Polina V. Kapitanova Ramesh C. Bansal School of Physics and Engineering ITMO University Saint-Petersburg Russia Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia University of Sharjah Sharjah UAE University of Pretoria Pretoria South Africa

ISBN: (数字)9798331530402

ISBN: (纸本)9798331530419

Wired or contact power transfer (CPT) technology for electric vehicle (EVs) charging infrastructures has been commercialized by several manufacturers with either AC or DC charging configurations. AC charging system comes as Level-1 and Level-2 while DC charging system is either Level3 or Level-4. For DC charging systems which are known as fast chargers, shorter charging duration is the main advantage over the AC charging systems. However, both AC and DC based CPT require human interventions to plug the cable before charging process to take place. On the other hand, wireless power transfer (WPT) such as inductive, capacitive or laser beam based power transfer are the alternatives for unmanned aerial vehicles (UAVs) autonomous charging techniques. Apart from being resilient to environmental factors like dust and water, WPT eliminates human intervention and the hassles related to battery swapping. However, WPT technologies have some limitations such as coil weight constraints and low charging performance due misalignment which hinders its efficient utilization in UAVs applications. Thus, this paper presents the performance analysis of WPT in terms of power transfer capability while uncovering several constraints for its deployment in UAV applications. Specifically, WPT performance parameters like power transfer efficiency, coefficient of coupling, and quality factors are analyzed in detail. The results of the analysis show that increasing the misalignment reduces the coefficient of coupling and hence overall power transfer efficiency.

关键词： Couplings Q-factor Power lasers Wireless power transfer Autonomous aerial vehicles Reliability engineering Electric vehicle charging Performance analysis Laser beams System analysis and design

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Optimization of Cylindrical Blades for Wind Turbine Based on Magnus Effect

Optimization of Cylindrical Blades for Wind Turbine Based on...

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International Conference on Electromechanical and Power systems (SIELMEN)

作者： Aleksandr Lukin Galina Demidova Dmitry Lukichev Nikolai Poliakov Alecksey Anuchin Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russia Electric Drives Department Moscow Power Engineering Institute Moscow Russia

Wind turbines based on the Magnus effect open new prospects in terms of energy generation for areas with low average wind speeds. The main feature of these turbines is rotating cylinders which are used to create lift instead of blades. Due to this unconventional design, different parameters of the cylinder, such as mass and moment of inertia, can greatly affect the dynamic characteristics of such energy systems. The goal of this paper was to present an approach to structural optimization of a cylinder flange of the experimental Magnus effect-based wind turbine. The proposed approach, presented as an algorithm, allows us to determine input data for the preferred structural optimization software and achieve lightweight, low-inertia parts. control simulation has shown that optimized parts ensure a high enough factor of safety while also significantly reducing the moment of inertia.

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Two approaches (GC-ECD and electrochemical sensors signals processing) to the determination of carbonyl compounds as markers of air pollution 26

Two approaches (GC-ECD and electrochemical sensors signals p...

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26th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2023

作者： Bronczyk, Karolina Adamski, Michal Dabrowska, Agata Konieczka, Adam Dabrowski, Adam Adam Mickiewicz University Faculty of Chemistry Department of Trace Analysis Poznań Poland Institute of Automatic Control and Robotics Poznan University of Technology Division of Signal Processing and Electronic Systems Poznań Poland

ISBN: (纸本)9798350304985

This article presents the application possibilities of unmanned aerial vehicles (UAVs) for the rapid and efficient determination of carbonyl compounds: formaldehyde and acetaldehyde concentrations in gaseous environmental samples. One of the described methods is the use of special electrochemical sensors (PMS5003 and SEN0231) to measure air pollution in real time (every 10 seconds). The second method involves adsorbing gas samples into sorption tubes with XAD-2 cartridges and uses chromatographic analysis: gas chromatography coupled with a selective electron capture detector (GC-ECD). The proposed analytical technique allows the determination of carbonyl compounds at low concentration levels (μg/m3) using pre-derivatization of samples with the reagent 2,3,4,5,6-pentafluorobenzyl-hydroxylamine (PFBOA). Comparing the results obtained from electrochemical sensors and chromatographic analysis, we can conclude that there are discrepancies between the determined concentrations of formaldehyde in the analyzed gas samples. © 2023 Division of Signal Processing and Electronic systems, Poznan university of Technology (DSPES PUT).

关键词： Formaldehyde

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Research and Simulation of Step-Up Converter of Battery Power Supply for DC Drive System

Research and Simulation of Step-Up Converter of Battery Powe...

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Power Electronics (Ee)

作者： Arina Arbuzina Margarita Arkharova Alexander Politsinsky Galina Demidova Akhil Garg Nikolai Poliakov Faculty of Control Systems and Robotics ITMO University St. Petersburg Russia School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

Algorithms of evaluation battery state of charge (SoC) and power consumption should be implemented to electrical drive systems to control parameters of a battery. In the course of the work, the characteristic of discharge of the battery was obtained, the control system for a semiconductor step-up voltage converter for the battery management system (BMS) was developed, and the accuracy of the model was evaluated. A simulation model of the «PWM converter-DC drive» system with the battery was developed. Simulation results were compared with experimental data and conclusions were drawn about the possibility of determining the SoC of the battery.

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Signal Processing for Acoustic Emission Signature Analysis and Defect Detection

Signal Processing for Acoustic Emission Signature Analysis a...

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Digital Signal Processing and its Applications (DSPA), International Conference on

作者： Yeldos A. Altay Dmitry O. Kuzivanov Dinara A. Altay Alexey V. Fedorov Department of Robotics and Technical Means of Automation Satbayev University Almaty Kazakhstan Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russian Federation Department of Natural Sciences Military Engineering Institute of Radio Electronics and Communications Almaty Kazakhstan

This article presents the results of implementing a digital signal processing method for analyzing the acoustic emission (AE) signature and detecting defects such as cracks and pores. The signal processing method is based on a cascade connection of digital high-pass filters and ensures the selection of informative signals and increases the signal-to-interference ratio. In order to control the formation of defects in the process of selective laser melting, the paper presents the results of experimental testing of the cascade filtration method for detecting defects in the internal structure such as cracks and pores. The signal components recorded during the development of defects during the growth of additive manufacturing products were extracted. AE signatures were analyzed and statistical relationships were assessed. The relationship between the parameters of the AE signal and the values of laser radiation power has been identified, which characterizes the process of defect formation.

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On finite-time observers for linear systems*

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IFAC-PapersOnLine 2023年第2期56卷 1667-1671页

作者： K. Zimenko D. Efimov A. Polyakov A. Kremlev Faculty of Control Systems and Robotics ITMO University St. Petersburg Russian Federation Inria Univ. Lille CNRS UMR 9189 - CRIStAL F-59000 Lille France

This work deals with the problem of finite-time homogeneous observer design for linear systems. Compared to other works, the stability conditions and parameters tuning are formulated using linear matrix inequalities being less conservative. The proposed results are based on the homogeneity property and Implicit Lyapunov Function method. The results are supported with simulation examples.

关键词： Finite-time observer state estimation homogeneous system Implicit Lyapunov function finite-time stability

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