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A Study on the Design of Solenoid Coils for Enhancing the Performance of NEG(Non Evaporator Getter) Coating

Transactions of the Korean Institute of Electrical Engineers 2024年第10期73卷 1840-1845页

作者： Park, Jong-Bin Joeng, Houng-Kun Dept. of Electrical & Control Engineering Cheongju University Korea Republic of

This paper investigates the design for improving the efficiency of the electromagnetic coil used in Non-Evaporator Getter (NEG) coating. For the proposed NEG coating, we design a solenoid-type coil shape, which is commonly used and focuses on forming a high-density magnetic field inside. We propose a design method for an electromagnet that forms a magnetic field of at least 100 Gauss within a radius of 10 mm from the maximum center point inside the coil. For the research presented in this paper, we use the finite element analysis software Ansys Maxwell to design and analyze the model, derive optimal parameters, and verify the results through simulations. Copyright © The Korean Institute of Electrical Engineers.

关键词： Solenoids

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Further Studies of A Proof of Utkin's Theorem for ITSMC of Second Order Uncertain Plants

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Transactions of the Korean Institute of Electrical Engineers 2023年第10期72卷 1208-1220页

作者： Choi, Myeong-Soo Lee, Jung-Hoon Dept. of Control & Robot Engineering Gyeongsang National University Korea Republic of ERI Dept. of Control & Robot Engineering Gyeongsang National University Korea Republic of

In this paper, the two sliding surface part transformations are investigated for ITSMC (integral terminal sliding mode control) of second-order uncertain linear plants when the input gain uncertainty of the system is not zero i.e. ∆b≠0 as the further study of [33] and as the alternative methods of [33]. As highlighted in [33], the realm of designing ITSMCs encompasses five distinctive approaches: control input transformation, sliding surface full transformation, and three variations of sliding surface part transformations. While the discussion on the first three methods has been comprehensively covered in [33], this paper centers its focus on the previously unexplored last two transformations. These latter two transformations are presented as novel alternatives to the approaches detailed in [33]. The initial three transformations, as elucidated in [33], demonstrate a performance wherein the real output can be effectively predicted through the utilization of solutions derived from the ideal sliding dynamics. These solutions are thoughtfully pre-designed and predetermined through the application of the ideal sliding dynamics. This paper significantly contributes by presenting a comprehensive exploration of the last two transformation methods, achieving performance on par with the first three transformations described in [33]. These final two sliding surface part transformations stand as noteworthy design methodologies for ITSMCs with the same performance as in [33], offering alternative avenues in contrast to those laid out in [33]. The practical value of our key findings is effectively demonstrated through an illustrative example and an extensive simulation study, thereby underscoring the pertinence and applicability of our research outcomes. © The Korean Institute of Electrical Engineers.

关键词： Sliding mode control

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A Proof of Utkin's Theorem for ITSMC with Output Prediction of Second Order Uncertain Plants

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Transactions of the Korean Institute of Electrical Engineers 2023年第5期72卷 628-642页

作者： Choi, Myeong-Soo Lee, Jung-Hoon Dept. of Control and Robot Engineering Gyeongsang National University Korea Republic of

In this paper, a complete proof of Utkin's theorem is presented for the ITSMC(integral terminal sliding mode control) of second order uncertain linear plants when ∆b≠0. The addition of integral action to the TSMCs so called the ITSMC enhances performance in both transient and steady states. Therefore, proof of Utkin's theorem is essential for ITSMC systems. There are five approaches to designing ITSMCs;control input transformation, sliding surface full transformation, and three sliding surface part transformations, which is for first time pointed out in this paper. The invariance property of the Utkin's theorem applies only to the first two transformations. Specifically, the sliding mode equation, i.e., the sliding surface, remains invariant for the first two transformations. However, the invariance property of Utkin's theorem can not apply to the three additional sliding surface part transformations, although they serve as design and stabilization approaches. The sliding surface full transformation first appears in the TSMCs, except in [32], while the three sliding surface part transformations appear for the first time in the TSMCs. This paper includes research on the first three transformations, and further studies will cover the last two sliding surface part transformations. This paper presents three transformation methods that achieve the same performances as those obtained through output prediction, predetermination, and predesign. Through an illustrative example and simulation study, the usefulness of the main results is verified. © The Korean Institute of Electrical Engineers This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://***/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

关键词： Sliding mode control

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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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Camera-LiDAR Jaywalking Detection in Traffic Surveillance System

Camera-LiDAR Jaywalking Detection in Traffic Surveillance Sy...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Kim, Taek-Lim Jang, Byung Jin Yeon, Joo Yeon Kim, Tae-Hyeong Park, Tae-Hyoung Chungbuk National University Dept. of Robot Control Eng Cheongju Korea Republic of Chungbuk National University Dept. of Intelligent Systems and Robotics Cheongju Korea Republic of Dept. of Research & Development Daegu Korea Republic of

ISBN: (纸本)9798331531614

Roadside sensors like cameras and LiDAR enhance pedestrian safety by providing comprehensive traffic data. While traditional traffic surveillance systems primarily focus on vehicle-related violations, such as signal violations and speeding, pedestrian jaywalking remains a significant cause of accidents. This paper presents a jaywalking detection method that fuses camera-based image segmentation with LiDAR ground segmentation to handle various conditions, including day and night. Our system addresses challenges such as poor lighting and vehicle occlusion by leveraging LiDAR's robustness in unlearned environments. Road segmentation is enhanced by combining camera outputs with LiDAR ground data, refining road boundary detection for more accurate road area analysis. By integrating road segmentation and object tracking, the system reduces false negatives and improves jaywalking detection. Experimental results from real-road data validate its effectiveness, showing significant potential to enhance traffic surveillance. © 2025 IEEE.

关键词： Image segmentation

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Static output feedback control for continuous-time t-s fuzzy systems: An iterative linear matrix inequalities approach

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Journal of Institute of control, robotics and Systems 2021年第11期27卷 913-918页

作者： Jeung, Eun Tae Dept. of Robot Control and Instrumentation Engineering Changwon National University Korea Republic of

This investigation deals with the design method of a static output feedback controller for continuous-time T-S fuzzy systems via iterative linear matrix inequalities. First, a matrix inequality that guarantees the stability of the nonlinear system is introduced. Based on this, an algorithm for finding the stabilization control gains, using the cone complementary linearization method, for continuous-time T-S fuzzy systems is presented. The validity of the proposed algorithm is verified through a simple example. © ICROS 2021.

关键词： Stabilization

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Camera-LiDAR Jaywalking Detection in Traffic Surveillance System

Camera-LiDAR Jaywalking Detection in Traffic Surveillance Sy...

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IEEE/SICE International Symposium on System Integration

作者： Taek-Lim Kim Byung Jin Jang Joo Yeon Yeon Tae-Hyeong Kim Tae-Hyoung Park Dept. of Robot Control Eng Chungbuk National University Cheongju Republic of Korea Dept. of Intelligent Systems and Robotics Chungbuk National University Cheongju Republic of Korea Dept. of Research & Development Korea Intelligent Automotive Parts Promotion Institute (KIAPI) Daegu Republic of Korea

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

Roadside sensors like cameras and LiDAR enhance pedestrian safety by providing comprehensive traffic data. While traditional traffic surveillance systems primarily focus on vehicle-related violations, such as signal violations and speeding, pedestrian jaywalking remains a significant cause of accidents. This paper presents a jaywalking detection method that fuses camera-based image segmentation with LiDAR ground segmentation to handle various conditions, including day and night. Our system addresses challenges such as poor lighting and vehicle occlusion by leveraging LiDAR’s robustness in unlearned environments. Road segmentation is enhanced by combining camera outputs with LiDAR ground data, refining road boundary detection for more accurate road area analysis. By integrating road segmentation and object tracking, the system reduces false negatives and improves jaywalking detection. Experimental results from real-road data validate its effectiveness, showing significant potential to enhance traffic surveillance.

关键词： Image segmentation Laser radar Pedestrians Roads Surveillance Transportation System integration Traffic control Cameras Sensors

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Mapless Navigation with Deep Reinforcement Learning based on The Convolutional Proximal Policy Optimization Network

Mapless Navigation with Deep Reinforcement Learning based on...

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International Conference on Big Data and Smart Computing (BIGCOMP)

作者： Nguyen Duc Toan Kim Gon Woo Dept. of Control and Robot Engineering Cheongju Chungbuk Korea

ISBN: (数字)9781728189246

ISBN: (纸本)9781728189253

In recent years, mapless navigation with a deep reinforcement learning approach in Autonomous Mobile robot has shown a considerable benefit in improving robot behavior flexibility. Specifically, the robot adapts to complex constraints and performs well in various environments without the need for a predetermined map and route plan. However, several previous studies show a lack of stability in the training of deep reinforcement learning networks for mapless navigation. Moreover, the exploration and exploitation in a specific work environment play an essential role in improving mapless navigation performance, which needs to be carefully considered. From the aforementioned issues, as well as inspired by the Proximal Policy optimization algorithm has shown that it does not only evaluates the advantages and disadvantages of policy but also prevents the policy from changing too much after each time weight update. In this paper, we propose to build a Convolutional Proximal Policy optimization network for the Mapless Navigation problem. Furthermore, the use of Boltzmann's policy to help balance exploration and exploitation also contributes to the robot's ability to explore more deeply in complex environments, and the performance of the mapless navigation problem is also significantly improved.

关键词： Training Navigation Conferences Reinforcement learning Big Data Mobile robots Optimization

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Object Recognition for Autonomous Driving in Adverse Weather Condition Using Polarized Camera

Object Recognition for Autonomous Driving in Adverse Weather...

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International Conference on control, Mechatronics and Automation (ICCMA)

作者： Min-Ho Ha Chan-Hoe Kim Tae-Hyoung Park Industrial AI Research Center Chungbuk National University Cheongju South Korea Dept. Control and Robot Engineering Chungbuk National University Cheongju South Korea Dept. Intelligent Systems and Robotics Chungbuk National University Cheongju South Korea

ISBN: (纸本)9781665490498

Autonomous driving refers to a vehicle driving by itself without human intervention. An autonomous vehicle must recognize the environment with an attached sensor, make judgments appropriate to the situation, and drive toward its destination. Although many studies have been conducted on autonomous driving in clear weather, the response to bad weather is insufficient because the sensor encounters difficulties recognizing the environment when it is backlight or raining. This study proposes a method for recognizing objects (e.g., vehicles, pedestrians, lanes) based on polarization cameras for safe autonomous driving in backlight conditions or rain. First, the camera’s light input is adjusted, altering its aperture backlight conditions. Then, the polarized image from the camera is synthesized and inputted into the object recognition network. The object detection network used Yolo v5, while the lane detection network used an ultrafast lane detection network. By extracting features from the same backbone, the inference speed of the object recognition network increased. On average, a speed of 23 fps and an object recognition accuracy of over 90% were shown in the Xavier environment.

关键词： Rain Lane detection Roads Vehicle driving Cameras Feature extraction Reduced order systems

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Optimal Design of the Halbach Array of Magnetic Coupling

Optimal Design of the Halbach Array of Magnetic Coupling

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International Conference on Electrical Machines and Systems (ICEMS)

作者： Ho-Joon Lee Houng-Kun Joung Chang-Hyun Kim Dept. Electrical & Control Engineering Cheongju University Cheongju-si South Korea Dept. Electronic Engineering Kangnam University Yongin-si South Korea

ISBN: (数字)9781665493024

ISBN: (纸本)9781665493031

In the railway field, research on electrification as well as in the field of traction motors in railway vehicles has been actively conducted. Accordingly, there is a need to develop new technologies that can improve maintenance and system efficiency compared to existing systems in the field of drive devices for railway vehicles, and magnetic coupling is one of the technologies that can meet this. In particular, the permanent magnet can be used to connect the motor and the machine and to transmit power through the airgap without physical contact, thereby contributing to the innovation in the railway field. In this paper, the design method of magnetic coupling was proposed, and the Halbach array was applied and the optimized model was derived for better output and efficiency. And its verifies the validity by comparing and analyzing the characteristics of the model derived by applying the electromagnetic finite element method(FEM).

关键词： Couplings Analytical models Technological innovation Design methodology Traction motors Permanent magnet motors Rail transportation

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