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Analysis of Magnetization Characteristic Based B-H Curve Fitting According to the Operation Conditions for Traction Motor

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Transactions of the Korean Institute of electrical Engineers 2025年第2期74卷 310-315页

作者： Kim, Young-Hyun Lee, Jung-Ho Dept. of Electrical Engineering Hanbat University Korea Republic of Dept. of Electrical Engineering Daejeon Institute of Science and Technology Korea Republic of

This paper examines the demagnetization characteristics of rare earth permanent magnets (PMs) used in electric machinery. An analytical model was designed considering a controllable shape, temperature, and the external magnetic field in PMs used in the rotor of an interior permanent magnet synchronous motor (IPMSM) for driving an electric railway vehicle (ERV). The demagnetization process was analysed based on the magnetization and demagnetization theory for PM materials in computer simulation. The result of the analysis can be used to calculate the magnetization and demagnetization phenomenon according to the input B-H curves. So, this paper presents the conditions of demagnetization by the external magnetic field in the running and stopped states and proposes a simulation method that can analyse demagnetization phenomena according to each condition and be used to design the IPMSM that maximizes efficiency and torque characteristics. This was experimentally verified. Copyright © The Korean Institute of electrical Engineers.

关键词： Permanent magnets

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Study on the Characteristics of Overhang Structure to Minimize Power Reduction Due to Leakage Flux in Axial Flux Motors

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Transactions of the Korean Institute of electrical Engineers 2025年第4期74卷 581-585页

作者： Lee, Sang-Uk Moon, Ju-Hyeong Kim, Tae-Hyeong Kang, Dong-Woo Dept. of Electrical energy Engineering Keimyung University Korea Republic of Dept. of Electrical Engineering Incheon National University Korea Republic of Dept. of electrical engineering Gyeongsang National University Korea Republic of

Radial flux motors (RFM) have achieved significant technological advancements to meet the high-power demands in various industries. However, due to their structural limitations, research on axial flux motors (AFM) has been actively progressing. Among them, yokeless and segmented armature axial flux (YASA-AFM) motor can generate high torque proportional to the motor diameter by utilizing its structural characteristics, thus offering enhanced output performance. Despite the ongoing research on the design of dual-rotor structures in YASA-AFM, there is a lack of clear criteria for efficient rotor diameter design to achieve high power output relative to volume. Furthermore, the air gap flux generated by the two rotors can cause flux leakage due to magnetic saturation in the single stator, potentially reducing the motor's output. To address these issues, this paper aims to study the rotor structure characteristics for minimizing flux leakage in AFM and provide criteria for efficient rotor diameter design. The analysis and validation of this study will be conducted using the finite element analysis software ANSYS Electronics Desktop 2024 R1. Through this research, we aim to improve the design of AFM and expand its applicability to a broader range of industrial fields. © The Korean Institute of electrical Engineers.

关键词： Saturation magnetization

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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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IEEE Vehicular Technology Society Bylaws Changes [Society News]

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IEEE VEHICULAR TECHNOLOGY MAGAZINE 2025年第1期20卷 111-112页

作者： Rubinstein, Tom Dept. of Electrical & Computer Engineering Auburn University Auburn AL USA

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

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Improved Object Detection Through a Learning-Based Joint-Initiative Supervised Autonomy (JISA) Framework

Improved Object Detection Through a Learning-Based Joint-Ini...

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2025 International Conference on Control, Automation, and Instrumentation, IC2AI 2025

作者： Tarabay, Andrea Daher, Naseem American University of Beirut Dept. of Electrical and Computer Engineering Beirut Lebanon American University of Beirut Dept. of Electrical and Computer Engineering Dept. of Mechanical Engineering Beirut Lebanon

ISBN: (纸本)9798331529604

Object detection is faced with accuracy and robustness limitations due to unstructured environments with objects of different sizes and occlusions. Despite advancements in object detection models, these models have not reached a point to possess a comparable level of perception to humans, thus limiting their ability to effectively address challenges in diverse environments. Hence, adopting a human-in-the-loop approach in autonomous systems can handle complex perception scenarios. To tackle these issues, the Joint-Initiative Supervised Autonomy (JISA) framework is used to allow a human supervisor to intervene once the agent is uncertain of its predictions based on its self-confidence (SC) metric, or when the human deems the prediction incorrect based on his/her situation awareness (SA). However, the existing JISA framework formally defines the levels of autonomy between the human and the agent, but does not provide a means for learning from human interventions. In this paper, we present an enhanced version of JISA in object detection applications by implementing a learning scheme that is inspired by the Interactive Corrections and Reinforcement for an Epistemic and Aleatoric uncertainty-aware Teaching (ICREATe) algorithm. To address these challenges, we evaluate the results of the proposed framework and demonstrate that the model effectively learns and improves its performance through human feedback. © 2025 IEEE.

关键词： Self-supervised learning

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SINR-Delay Constrained Node Localization in RIS-Assisted Time-Varying IoT Networks Using ML Frameworks

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IEEE Transactions on Network and Service Management 2025年第2期22卷 1544-1557页

作者： Bhardwaj, Vikash Kumar Mundada, Gagan Sahoo, Omm Prakash Shukla, Mahendra K. Pandey, Om Jee Varanasi Dept. of Electronics Engineering 221005 India University of California San Diego Computer Science and Engineering Dept United States Varanasi Dept. of Electrical Engineering 221005 India ABV-IIITM Gwalior Dept. of Information Technology India

Node localization in time-varying Internet of Things (IoT) networks is an essential problem due to increased delay and poor Signal-to-Interference plus Noise Ratio (SINR) at the Base Station (BS). To improve the received signal strength at the BS, Reconfigurable Intelligent Surface (RIS) has recently been used between transmitter and receiver. Additionally, novel phase prediction methods and optimal weight assignment frameworks have been proposed over RIS and BSs, respectively. Nevertheless, these methods suffer from poor performance due to their heuristic approach, resulting in more time consumption and poor SINR. Motivated by the aforementioned challenges, we propose a novel node localization method over a RIS-assisted time-varying IoT network using Machine Learning (ML) frameworks in this work. Firstly, the method computes the optimal phase configuration over the RIS corresponding to each element using coeff2phaseNN, which has been trained on channel coefficients among the transmitter, receiver, and RIS. Subsequently, the weight of the individual antenna element at the BS is optimized using the proposed VectorSync model. The results confirm that the coeff2phaseNN method demonstrates a reduction of 89.79% in total MSE loss compared to the Artificial Neural Network-RIS (ANN-RIS) method. Additionally, it demonstrates a 71.04% reduction in the absolute RIS phase prediction deviation from the optimal phase compared to the ANN-RIS method. Moreover, the proposed VectorSync method attains a 79.28% and 92.29% reduction in time required for optimal weight assignment compared to the Bartlett and Capon methods, respectively. Finally, the Localization Error(LR) using the proposed method is compared to conventional methods in a time-varying experimental scenario and found to be the minimum, i.e., 6.156%. © 2004-2012 IEEE.

关键词： Signal to noise ratio

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

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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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Characteristics of Two-Dimensional Fluid Simulation Capacitively Coupled Ar/O2 Discharge

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Transactions of the Korean Institute of electrical Engineers 2025年第3期74卷 477-483页

作者： Jang, Min-U Cha, Ju-Hong Lee, Ho-Jun Dept. of Electrical Engineering Pusan National University Korea Republic of Dept. of Electrical and Electronic Engineering Pusan National University Korea Republic of Dept. of Semiconductor Engineering Gyeongsang National University Korea Republic of

The SiO2 films are widely used as sidewall spacers and insulating liners in microelectronic devices. One of the main challenges in depositing thin SiO2 films is precisely tuning their mechanical, optical, and electrical properties. Additionally, the films must be deposited in high aspect ratio structures for various applications. The properties of these films are determined by active species such as ions and radicals, as well as clusters formed by collisions between electrons and gaseous under certain conditions. To enhance the efficiency of thin film deposition and improve process control, we investigated plasma properties at different gas mixture ratios and pressures through two-dimensional fluid simulations of capacitively coupled Ar/O2 discharges. This study confirmed that as the mole fraction of O2 increases, the density of O2+ and O+ increases, which in turn increases the recombination reaction with O-. This provided insight into the behavior of each ion and radical. Copyright © The Korean Institute of electrical Engineers.

关键词： Plasma enhanced chemical vapor deposition

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Comparison of Electromagnetic Analysis in Interior Permanent Magnet Synchronous Machines According to Inductance Derivation Methods

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Transactions of the Korean Institute of electrical Engineers 2025年第2期74卷 287-294页

作者： Lee, Soo-Jin Dung, Nguyen Manh Eom, Seok-Hyeon Kim, Tae-Seong Kim, Sang-Hyeop Kim, Yong-Joo Shin, Kyung-Hun Choi, Jang-Young Dept. of Electrical Engineering Chungnam National University Korea Republic of Dept. of Electrical Engineering Changwon National University Korea Republic of Dept. of Biosystem Machinery Engineering Chungnam National University Korea Republic of

This paper compares inductance calculation methods for IPMSM (Interior Permanent Magnet Synchronous Machine) considering core non-linearity and analyzes electromagnetic performance based on different types of inductance. Inductance is classified into inductance based on matrix, obtained through d-q transformation, and incremental inductance, depending on the calculation method. The torque and output characteristics are analyzed accordingly. By applying motor operating limit conditions, torque and voltage results are compared at the point of maximum torque. The validity of the proposed inductance calculation method is verified by comparing results obtained through finite element analysis. In conclusion, an inductance calculation method that considers core non-linearity while offering superior control simplicity is proposed. Copyright © The Korean Institute of electrical Engineers.

关键词： Permanent magnets

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Application of Binary Search Technique in MPPT Control for Enhancing Power Generation in Photovoltaic Systems

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Transactions of the Korean Institute of electrical Engineers 2025年第4期74卷 733-738页

作者： Lim, Jong-Ho Song, Sung-Geun Lee, Hyun-Jae Shon, Jin-Geun Dept. of Electrical Engineering Gachon University Korea Republic of

This paper proposes an Maximum Power Point Tracking(MPPT) control method utilizing a binary search algorithm to enhance the power generation efficiency of photovoltaic(PV) systems. In PV systems, the MPPT control is a technique designed to maintain power generation at the maximum power point (MPP) under all conditions. The MPPT control must quickly track the MPP in real-time in response to fluctuations in power generation caused by external factors. To achieve rapid and accurate identification of the maximum power point, this study applies a binary search algorithm, which efficiently finds a target value within a sorted array, to the MPPT control. The performance of the proposed MPPT control method was validated through simulations conducted using PSIM. The results demonstrate that the proposed approach effectively increases the power generation efficiency of PV systems. © The Korean Institute of electrical Engineers.

关键词： Binary Search Maximum Power Point Tracking Photovoltaic System Power Generation Efficiency

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