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2025 International Conference on Intelligent control, Computing and Communications, IC3 2025

作者： Justo, Jackson J. Demidova, Galina Lukichev, Dmitry Poliakov, Nikolai Makolo, Peter Bansal, Ramesh C. Itmo University Faculty of Control System and Robotics Saint-Petersburg Russia University of Dar es Salaam Department of Electrical Engineering P.O. Box 33335 Dar es Salaam Tanzania United Republic of University of Sharjah Depatment of Electrical Engineering Sharjah United Arab Emirates University of Pretoria Department of Electric Electronic and Computer Engineering Pretoria South Africa

ISBN: (纸本)9798331527495

During the last two decades, interest in grid integrated renewable energy sources (RERs) into the electrical power grids has significantly grown. The motive being a promising strategy to reduce greenhouse gas emissions generated by conventional power plants (CPPs) and hence environmental consequences, decrease losses in distribution lines to improve power system supply efficiency and reliability to consumers. As a result, several CPPs are being replaced by RERs such as solar PV system, wind energy, micro hydro-turbine, fuel cell, and small gas power plants. These are installed close to customers on low-voltage and medium-voltage sites to reduce losses in the network and improve power quality, overall efficiency and reliability. However, grid-connected RERs via inverter decreases system inertia due to decrease in CPPs with rotating mass serving as an immediate natural response to frequency deviations following network disturbances. Therefore, this paper presents the design of dynamic virtual-inertia control (DVIC) scheme. The developed DVIC incorporates the mechanism to adjust active and reactive demand in response to any frequency and voltage variations to ensure system stability. To validate the suitability of the presented technique, MATLAB/Simulink model is developed and simulated under various operating scenarios. Using the results obtained simulation study, it is evidently the proposed DVIC shows improved performance is achieved than when no inertia control system applied. © 2025 IEEE.

关键词： Solar fuels

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Comparative Study on Fall Detection using Machine Learning Approaches 19

Comparative Study on Fall Detection using Machine Learning A...

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19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022

作者： Tongskulroongruang, Thienrawit Wiphunawat, Paphatchaya Jutharee, Wisanu Kaewmahanin, Watchara Rassameecharoenchai, Teerameth Jennawasin, Tanagorn Kaewkamnerdpong, Boonserm King Mongkut's University of Technology Thonburi Department of Control Systems and Instrumentation Engineering Bangkok Thailand Institute of Field Robotics and Automation King Mongkut's University of Technology Thonburi Bangkok Thailand Naresuan University Faculty of Allied Health Sciences Department of Cardiothoracic Technology Phitsanulok Thailand King Mongkut's University of Technology Thonburi Biological Engineering Program Faculty of Engineering Bangkok Thailand

ISBN: (纸本)9781665485845

Falls are one of the most dangerous problems for the elderly. A reliable fall detection system can aid in reducing the harmful repercussions of an unintentional fall. The focus of this paper is on a dataset that includes signals from portable devices. We propose a simple feature selection approach to reduce the number of effective input attributes based on a voting strategy. The dataset is classified into three categories, i.e., pre-fall, fall and post-fall using various machine learning approaches. The computational time is significantly reduced for most of the classification algorithms, and the relative reduction reaches to 66.67% with decision tree algorithm. Classification accuracy can reach as high as 95.17% when using neural network, while the relative reductions on the classification accuracy due to the feature selection do not exceed 1.50%. © 2022 IEEE.

关键词： Decision trees

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Automatic Facial Asymmetry Analysis for Elderly Stroke Detection by using Cosine Similarity 19

Automatic Facial Asymmetry Analysis for Elderly Stroke Detec...

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19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022

作者： Kaewmahanin, Watchara Rassameecharoenchai, Teerameth Jutharee, Wisanu Tongskulroongruang, Thienrawit Wiphunawat, Paphatchaya Jennawasin, Tanagorn Kaewkamnerdpong, Boonserm Naresuan University Faculty of Allied Health Sciences Department of Cardiothoracic Technology Phitsanulok Thailand King Mongkut's University of Technology Thonburi Institute of Field Robotics and Automation Bangkok Thailand Mongkut's University of Technology Thonburi Department of Control Systems and Instrumentation Engineering Bangkok Thailand King Mongkut's University of Technology Thonburi Biological Engineering Program Faculty of Engineering Bangkok Thailand

ISBN: (纸本)9781665485845

For acute stroke patients, time to recognize the stroke symptom onset is crucial for the lifesaving treatment. The automatic detection of stroke signs has been increasingly developed for practical use. The better timely classification results could allow better detection of the symptoms and avoid morbidity and mortality. In this study, we proposed using cosine similarity between the left and right sides of the face as a part of features for classifying the stroke elderly patients from healthy elderly participants. We employed our method on images from the Toronto NeuroFace dataset. The results showed high classification accuracy (the average accuracy of 97.8998% from 6 classification methods). These results indicate that the cosine similarity features can be useful to detect facial asymmetry and pose very promising potential for elderly stroke detection. © 2022 IEEE.

关键词： Patient treatment

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On-line Parameter Estimation of the Polarization Curve of a Fuel Cell with Guaranteed Convergence Properties: Theoretical and Experimental Results

arXiv

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arXiv 2023年

作者： Beltrán, Carlo Bobtsov, Alexey Ortega, Romeo Langarica-Córdoba, Diego Cisneros, Rafael Díaz-Saldierna, Luis H. San Luis Potosí78295 Mexico The Department of Control Systems and Robotics ITMO University Saint Petersburg197101 Russia Mexico City01080 Mexico The Instituto Potosino de Investigación Científica y Tecnológica San Luis Potosí78216 Mexico

In this paper we address the problem of online parameter estimation of a Proton Exchange Membrane Fuel Cell (PEMFC) polarization curve, that is, the static relation between the voltage and the current of the PEMFC. The task of designing this estimator—even off-line—is complicated by the fact that the uncertain parameters enter the curve in a highly nonlinear fashion, namely in the form of nonseparable nonlinearities. We consider several scenarios for the model of the polarization curve, starting from the standard full model and including several popular simplifications to this complicated mathematical function. In all cases, we derive separable regression equations—either linearly or nonlinearly parameterized—which are instrumental for the implementation of the parameter estimators. We concentrate our attention in on-line estimation schemes for which, under suitable excitation conditions, global parameter convergence is ensured. Due to this global convergence properties the estimators are robust to unavoidable additive noise and structural uncertainty. Moreover, their on-line nature endow the schemes with the ability to track (slow) parameter variations, that occur during the operation of the PEMFC. These two features—unavailable in time-consuming off-line data-fitting procedures—make the proposed estimators helpful for an on-line time-saving characterization of a given PEMFC, and the implementation of fault-detection procedures and model-based adaptive control strategies. Simulation and experimental results that validate the theoretical claims are presented. © 2023, CC BY.

关键词： Fault detection

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Reviewing Fault Diagnosis Methods in Electric Drives: Power Subsystem and Electrical Machine

Reviewing Fault Diagnosis Methods in Electric Drives: Power ...

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

作者： Galina Demidova Hao Chen Yibin Li Dmitry Lukichev Alecksey Anuchin Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia School of Electrical and Power Engineering China University of Mining and Technology Xuzhou China Institute of Marine Science and Technology Shandong University Shandong China Department of Electric Drives Moscow Power Engineering Institute Moscow Russia

This paper provides a review of popular fault diagnosis methods in the power subsystem and electrical machine of electric drives. The review aims to explore the different approaches used to detect faults in these components and the most common types of faults encountered in electric drives. The paper first provides an overview of the power subsystem and electrical machine and their respective functions within the electric drive system. It then proceeds to discuss the different types of faults that can occur in these components, including overvoltage, undervoltage, overcurrent, and short circuits. The review evaluates the various fault diagnosis methods available for these components, including model-based, signal-based, and artificial intelligence-based approaches. Model-based approaches use mathematical models of the system to detect and diagnose faults. Signal-based approaches rely on the analysis of measured signals to detect changes in system behavior that indicate a fault. Artificial intelligence-based approaches use machine learning algorithms to identify patterns in data and detect faults. Model-based approaches are highly accurate but can be computationally intensive. Signal-based approaches are less computationally intensive but may be less accurate in certain situations. Artificial intelligence-based approaches are versatile but require significant amounts of data for training. This review provides a comprehensive overview of the current state-of-the-art in fault diagnosis methods for the power subsystem and electrical machine of electric drives. The review concludes by suggesting potential areas for future research to further improve the accuracy and efficiency of fault diagnosis methods for electric drives.

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Development of Complex Surfaces Adaptive Polishing Method for Robotic Cell

Development of Complex Surfaces Adaptive Polishing Method fo...

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2019 International Russian Automation Conference, RusAutoCon 2019

作者： Iuvshin, Alexander M. Tretyakov, Sergey D. Egorov, Sergey V. Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russia

ISBN: (纸本)9781728102658

This paper presents the solutions adopted for an automated robotic polishing cell for processing complex surfaces of parts, such as turbine blades. Turbine blade is frequently carried out manually, and these operations are iterative, time consuming and require experience. Automation can provide cost reduction minimizing production times on such manual finishing operations. The authors presented a step-by-step plan for the implementation of a robotized installation for adaptive polishing of complex surface profiles and a method for control the geometry of the complex surfaces. The research shown in this paper provides an overall solution without discarding aspects that could be relevant to the task considered in the turbine blade making environment. The application of this solution will allow increasing labor productivity, repeatability of the result and significantly reduce the cost of the finished product. © 2019 IEEE.

关键词： Turbomachine blades

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Estimation of the Distance to Moving Vehicles in a Traffic Stream

Estimation of the Distance to Moving Vehicles in a Traffic S...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Oleg Evstafev Vladimir Bespalov Sergey Shavetov Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia

ISBN: (数字)9781728159539

ISBN: (纸本)9781728159546

This work is devoted to estimating the distance between moving cars to prevent dangerous traffic situations. The solution to this problem uses the approach of computer vision and calculating a depth map based on a stereoscopic pair. Using the Viola-Jones algorithm, the system detects vehicles while the vehicle is moving and calculates the distance to the objects moving in front, combining the received information with a depth map.

关键词： Cameras Distortion Vehicles Automobiles Trajectory Photodetectors Prediction algorithms

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A New ECG Signal Processing Method Based on Wide-Band Notch Filter

A New ECG Signal Processing Method Based on Wide-Band Notch ...

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IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

作者： Yeldos A. Altay Artem S. Kremlev Konstantin A. Zimenko Faculty Control Systems and Robotics ITMO University Saint Petersburg Russia

ISBN: (数字)9781728157610

ISBN: (纸本)9781728157627

This article presents the task of ECG signal processing a wide-band notch filter. It is proposed to use a cascade wide-band notch filter. The proposed method allows us to increase the accuracy of ECG signal processing and reduce wide-band electrical noise. The effectiveness proposed method for ECG signal processing by experimental results is considered.

关键词： Electrocardiography Notch filters Interference Transfer functions Low-pass filters

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control of UAV Based on Biological Algorithm

Control of UAV Based on Biological Algorithm

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2019 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" IT and QM and IS 2019

作者： Petrov, Vadim A. Bushuev, Alexandr B. Grigoriev, Valery V. Litvinov, Yuriy V. Evstigneev, Maxim I. Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia

ISBN: (纸本)9781728125954

This paper considers a development of a light source search model for the unmanned aerial vehicle (UAV) program control. The UAV is a quadcopter. The search model based on the Lotka- Volterra equations contains the trend to rotate to the left and trend to rotate to the right. Depending on the interaction of trends, the VAV rotates in one direction or another. The purpose of the search is a light source. The biological control algorithm is adapted for the quadcopter. The robot's algorithms have been developed for searching and tracking modes. The contribution of this paper is to propose the algorithm of actions in cases of search and loss of visual contact with the source. We provide the simulation of values change dynamics of quadcopter rotations trends. The simulation results demonstrate a high degree of entropy, which allows the quadcopter to explore a large area. The trajectory of the robot is constantly changing and depends on the location of other similar sources. © 2019 IEEE.

关键词： Antennas

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control System for Forearm Prosthesis with Three Degrees of Freedom in Wrist Module

Control System for Forearm Prosthesis with Three Degrees of ...

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

作者： Natalia Gorokhova Svetlana Perepelkina Pavel Kovalenko Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia

ISBN: (数字)9781728145907

ISBN: (纸本)9781728145914

The focus of the current research is the investigation of human wrist and its functions. The human wrist significantly contributes to human hand mobility, stability and manipulation activities. This research is devoted to the design of a control system for wrist module of a forearm prosthesis. The main features of the developed control system include three degrees-of-freedom in wrist module, minimization of physiological movements amplitude, provision of an ergonomic grip and holding objects regardless of their position, and the minimization of teaching period of a patient. By using a PID controller and a range of optimal settings, the authors made a functional control system which is able to work with a range of loads. The suggested control system can be used not only in existing prostheses but also in new projects of this field. This research and its perspectives would significantly improve the quality of life for people, who lost their limbs because of an amputation.

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