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Oscillation Theories in Various Systems and Detection in Power Systems Using Prony Analysis

Transactions of the Korean Institute of electrical Engineers 2025年第3期74卷 377-384页

作者： Choi, Yoon-Seong Lee, Dongho Dept. of Electrical and Control Engineering Mokpo National University Korea Republic of Dept. of Electrical Engineering Mokpo National University Korea Republic of

The integration of inverter-based renewable energy sources in power systems affects frequency stability and oscillation characteristics, posing challenges to system reliability. Complex interactions between generators' dynamic behaviors and transient electrical flows complicate oscillation detection. This study reviews oscillation theories, such as the spring-mass system and radio frequency oscillation, which help explain oscillation mechanisms but are limited in detecting power system oscillations. To address this, the study applies Prony analysis, which models time-series data as a sum of exponential functions, and compares it with RMS Energy Filtering. The proposed algorithm, combining these methods, is tested on real power system data from the U.S., successfully detecting primary oscillation modes and damping characteristics. The results highlight the method's accuracy in identifying critical oscillation frequencies and the importance of selecting an appropriate order in Prony analysis to prevent overfitting or underfitting. Copyright © The Korean Institute of electrical Engineers.

关键词： Exponential functions

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A Study on the Performance of Bearingless PMSM Based on Rotor Permanent Magnet Arrangement

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Transactions of the Korean Institute of electrical Engineers 2025年第4期74卷 739-746页

作者： Noh, Min-Soo Kim, Dong-Hyeon Guo, Youguang Lee, Ho-Joon Dept. of Electrical and Control Engineering Cheonju University Korea Republic of Dept. of Electronics and Electrical Engineering Dankook University Korea Republic of Dept. of Electronic Engineering Cheongju University Korea Republic of School of Electrical and Data Engineering University of Technology Sydney Australia

Magnetic bearing motors are in high demand due to their ability to operate in special environments without mechanical friction and lubrication, effectively avoiding wear and contamination. To overcome the complexity and maximum speed limitations, bearingless PMSMs (Permanent Magnet Synchronous Motors) have been developed. This study explains the electromagnetic driving principles of bearingless PMSMs based on generation conditions and the components of suspension forces. Furthermore, the permanent magnets arranged on the rotor are designed to alter the magnetic flux distribution using various magnetization patterns. FEA(Finite Element Analysis) was conducted for each model, and the derived results were compared and analyzed. This study investigates the performance of bearingless PMSMs based on different rotor permanent magnet arrangements, and draws a comprehensive conclusion. © The Korean Institute of electrical Engineers.

关键词： Permanent magnets

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Closed-Loop System Identification of an Unstable Nonlinear System Using Koopman Operator 4

Closed-Loop System Identification of an Unstable Nonlinear S...

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4th International Symposium on Instrumentation, control, Artificial Intelligence, and Robotics, ICA-SYMP 2025

作者： Maneeloke, Benjaset Boonto, Sudchai Sanposh, Peerayot Tipsuwan, Yodyium Chinthaned, Natthawut Tanaprasitpattana, Warit Kasetsart University Dept. of Electrical Engineering Bangkok Thailand King Mongkut's University of Technology Thonburi Dept. of Control Systems and Instrumentation Engineering Bangkok Thailand Kasetsart University Dept. of Computer Engineering Bangkok Thailand

ISBN: (纸本)9798331505400

This paper presents a novel methodology for closed-loop system identification of unstable nonlinear systems using the Koopman operator with Extended Dynamic Mode Decomposition with control (EDMDc). The study highlights the critical role of selecting appropriate observable functions to develop accurate and efficient Koopman models. We demonstrate that the resulting Koopman models exhibit excellent fitting and validation properties and retain the stabilizability of the original nonlinear systems. These models are verified through time and frequency responses under closed-loop control using a Linear Quadratic Regulator (LQR), confirming their effectiveness. Future work will extend this framework to more complex systems and incorporate machine learning techniques to refine the selection of observable functions. This approach aims further to enhance the adaptability and robustness of Koopman-based control strategies. © 2025 IEEE.

关键词： Dynamic mode decomposition

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Optimization Scheduling of Multi-Energy Microgrid Based on the QUBO Quantum Computing Model 19th

Optimization Scheduling of Multi-Energy Microgrid Based on t...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Wang, Baonan Wang, Hui Zhang, Dan College of Computer Science and Technology Shanghai University of Electric Power Shanghai China State Key Laboratory of Power System Operation and Control Dept. of Electrical Engineering Tsinghua University Beijing China Institute of Logistic Science and Engineering Shanghai Maritime University Shanghai China

ISBN: (纸本)9789819608966

Current optimization methods for microgrid scheduling face issues such as insufficient precision in energy distribution, high operational costs, and inefficiency. In response to these challenges, an optimization scheduling method for multi-energy microgrids based on the QUBO (Quadratic Unconstrained Binary Optimization) quantum computing model is proposed in this paper, alongside a discretization approach based on a grid partitioning strategy. To validate the feasibility of addressing microgrid optimization scheduling problems in a quantum computing environment, a QUBO model is constructed and simulation studies are conducted in the qbsolv environment provided by D-Wave. The results indicate that operational costs are significantly reduced with an increase in the number of grids, particularly a reduction of 4.52% when the number of grids increases from five to ten. This method not only effectively enhances the precision of electricity supply and energy utilization efficiency but also reduces unnecessary electrical waste and economic costs. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Microgrids

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Closed-Loop System Identification of an Unstable Nonlinear System Using Koopman Operator

Closed-Loop System Identification of an Unstable Nonlinear S...

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First International Symposium on Instrumentation, control, Artificial Intelligence, and Robotics (ICA-SYMP)

作者： Benjaset Maneeloke Sudchai Boonto Peerayot Sanposh Yodyium Tipsuwan Natthawut Chinthaned Warit Tanaprasitpattana Dept. of Electrical Engineering Kasetsart University Bangkok Thailand Dept. of Control Systems and Instrumentation Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand Dept. of Computer Engineering Kasetsart University Bangkok Thailand

ISBN: (数字)9798331505400

ISBN: (纸本)9798331505417

关键词： Time-frequency analysis Adaptation models Regulators Accuracy Fitting Machine learning Robustness Closed loop systems Complex systems Frequency control

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Efficient One-Dimensional Current Configuration and Encoding Method for ITSC Diagnosis of Three-Phase Induction Motor Using CNN

Efficient One-Dimensional Current Configuration and Encoding...

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11th International Conference on Mechatronics and Robotics engineering, ICMRE 2025

作者： Goh, Yeong-Jin Kim, Kyoung-Min School of Electrical & Control Engineering Tongmyong Uinv. Busan Korea Republic of Chonnam National Univ. Dept. Electrical & Semiconductor Engineering Yeosu Korea Republic of

ISBN: (纸本)9798331509293

One-dimensional (1D) time series vibrations are typically exposed to irregular noise when applied to actual industrial sites that may reduce the efficiency of supervised learning. While current data may be associated with low-data loss, they may affect the increase in the number of CNN channels. This study proposes a fault diagnosis using current data and an efficient image encoding method for inter-turn short circuit (ITSC) fault diagnosis of a three-phase induction motor using convolutional neural networks (CNN). To address this problem, only the D-axis component of the D-Q synchronous reference frame was used to demonstrate the information loss over time by analyzing whether ITSC occurs during the transformation process (three to single phase). The SWM and GAF methods were compared to investigate an efficient input image construction method that could be applied to CNN by utilizing the 1D D-axis signal. In the configuration of big data, the variation of the total load (no- to full-load state) was considered and applied to CNN. As a result, the GAF and SWM methods respectively yielded accuracies of 74 % and 65%. The learning time (14.74 s) was not significantly different from the overall time but it was shorter for epochs © 2025 IEEE.

关键词： Convolutional neural networks

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Efficient One-Dimensional Current Configuration and Encoding Method for ITSC Diagnosis of Three-Phase Induction Motor Using CNN

Efficient One-Dimensional Current Configuration and Encoding...

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Mechatronics and Robotics engineering (ICMRE), International Conference on

作者： Yeong-Jin Goh Kyoung-Min Kim School of Electrical & Control Engineering TONGMYONG Uinv. Busan South Korea Dept. Electrical & Semiconductor Engineering Chonnam National Univ. Yeosu South Korea

ISBN: (数字)9798331509293

ISBN: (纸本)9798331509309

One-dimensional (1D) time series vibrations are typically exposed to irregular noise when applied to actual industrial sites that may reduce the efficiency of supervised learning. While current data may be associated with low-data loss, they may affect the increase in the number of CNN channels. This study proposes a fault diagnosis using current data and an efficient image encoding method for inter-turn short circuit (ITSC) fault diagnosis of a three-phase induction motor using convolutional neural networks (CNN). To address this problem, only the D-axis component of the D-Q synchronous reference frame was used to demonstrate the information loss over time by analyzing whether ITSC occurs during the transformation process (three to single phase). The SWM and GAF methods were compared to investigate an efficient input image construction method that could be applied to CNN by utilizing the 1D D-axis signal. In the configuration of big data, the variation of the total load (no- to full-load state) was considered and applied to CNN. As a result, the GAF and SWM methods respectively yielded accuracies of ~74 % and ~65%. The learning time (~14.74 s) was not significantly different from the overall time but it was shorter for epochs < 100.

关键词： Fault diagnosis Vibrations Training Induction motors Image coding Accuracy Time series analysis Supervised learning Convolutional neural networks Testing

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Securing Mobile Robotic Networks Against Replacement Attack

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IEEE Transactions on Automatic control 2025年

作者： Li, Yushan He, Jianping Chen, Cailian Guan, Xinping Cai, Lin Shanghai Jiao Tong University Dept. of Automation China Ministry of Education of China The Key Laboratory of System Control and Information Processing China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China University of Victoria Dept. of Electrical and Computer Engineering BC Canada

The security of mobile robotic networks (MRNs) has been an active research topic in recent years. This paper aims to secure the ubiquitous formation control of MRNs against the replacement attack, where an external robot can replace a formation robot by compromising the communication and physically interfering with the victim simultaneously. To counter this advanced attack, the novel idea of this work is to leverage the physical proximity of the formation shape and the interaction topology among robots for defense design. First, from the physical proximity perspective, we propose the convex neighbor polygon (CNP) to capture the geometric characteristic of the formation robots, and design a CNP-based security mechanism for the robots during the replacement attack. Then, from the interaction perspective, we introduce the indirect controllability to characterize the possibility that the attacker leverages the interaction between robots to deactivate the CNP mechanism, and establish the conditions regarding the topology structure and the attack input to counter the replacement. Finally, based on the obtained conditions, we demonstrate how to design the initiatory topology among the formation robots to enhance the defense performance. Comparative simulations verify the effectiveness of the proposed method. © 1963-2012 IEEE.

关键词： Topology

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Robotic Teleoperation control Using PSO-Tuned Fractional Order Active Disturbance Rejection

Robotic Teleoperation Control Using PSO-Tuned Fractional Ord...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Omar Gad R. Fareh J. Ghommam M. Nasir S. Khadraoui M. Bettayeb Dept. of Electrical Engineering University of Sharjah UAE Research Inst. of Sciences and Engineering University of Sharjah UAE Dept. of Electrical and Computer Engineering Sultan Qaboos University Oman Control and Energy Management Laboratory (CEM Lab) Ecole National d'Ingenieur de Sfax Tunisia

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

Bilateral teleoperation systems have become essential for enabling precise remote manipulation in fields such as robotic surgery and hazardous material handling. However, these systems face significant challenges, including time delays, environmental uncertainties, and nonlinear dynamics, which can affect their stability and performance. This research aims to investigate the application of Active Disturbance Rejection control (ADRC) to address these challenges. ADRC is chosen for its real-time estimation and compensation for disturbances, even with limited knowledge of the system model. Additionally, the study incorporates enhancements such as Fractional-Order control and optimization techniques, including Particle Swarm Optimization (PSO), for parameter tuning. A simulation study is conducted to assess the performance of the proposed controller in tracking control of bilateral teleoperation systems with 3-DOF and 4-DOF manipulators. Results illustrate the superiority of the fractional order ADRC in disturbance rejection and trajectory tracking compared to linear ADRC, making it a promising solution for teleoperation applications.

关键词： Robust control Uncertainty Trajectory tracking Simulation 3-DOF Surgery Manipulators Stability analysis Particle swarm optimization Tuning

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Shape Uniformity Analysis of Injection Molded Cooling Fan Using Laser Camera

Shape Uniformity Analysis of Injection Molded Cooling Fan Us...

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International Conference on Autonomous Robots and Agents, ICARA

作者： Won Ho Kim Hyun Sul Lee Jin Ho Kim Division of Electrical Electronic and Control Engineering Kongju National University Cheonan Rep. of Korea Dept. of Industrial Engineering Kongju National University Cheonan Rep. of Korea

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

This paper describes quality uniformity inspection of injection molded parts based on 3D laser camera. The shape uniformity of the automotive cooling fan is an important quality control indicator. An algorithm for automatically measuring the groove width and dept. of the injection molded cooling fan is presented and its practicality was evaluated. As result of computer simulation, it was confirmed that the measured two shape parameters of cooling fan can be applied to vision inspection for the classification of defective parts or used as a reliability indicator for quality control.

关键词： Fans Three-dimensional displays Cooling Shape Semiconductor lasers Measurement by laser beam Quality control Inspection Cameras Classification algorithms

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