Seunghun Jang
Seunghun Jang / 장승훈
Ph.D. Student
shjang7071@kaist.ac.kr
0009-0006-1091-3200
Google Scholar
GitHub

Description

Seunghun Jang received the B.S. degree in the Department of Bio-Industrial Machinery Engineering from Pusan National University, Pusan, South Korea, in 2021, and the M.S. degree in the Department of Mechanical Engineering from Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea, in 2024. He is currently pursuing a Part time Contract Research Scientist in the Cho Chun Shik Graduate School of Mobility at the KAIST, Daejeon, South Korea, where he is a member of the MIC Lab.

His current research interests include state estimation of Synchronous Machines (SMs), physics-informed online learning of SMs, optimal control of electric drives.

Publications in MIC Lab


Quick Links

  • Papers Under Review (1)
  • International Conference Papers (3)
  • Domestic Conference Papers (3)
  • Master's Theses (1)

    • Papers Under Review


      2025
    1. Physics-Informed Online Learning of Flux Linkage Model for Synchronous Machine
      Seunghun Jang, Myeongseok Ryu, Kyunghwan Choi*
      IECON, 2025 [Full-Text]

    International Conference Papers


      2024
    1. Neural Network-based Nonlinearity Estimation of Voltage Source Inverter for Synchronous Machine Drives
      Yeongho Jeong, Seunghun Jang, Kyunghwan Choi*
      International Symposium on Industrial Electronics (ISIE), pp. 1-5, 2024 [Online]
    2. Extended State Observer Based Stator Flux Linkage Estimation of Nonlinear Synchronous Machines
      Seunghun Jang, Bernd Pfeifer, Christoph M. Hackl, Kyunghwan Choi*
      International Symposium on Industrial Electronics (ISIE), pp. 1-5, 2024 [Online] [Full-Text]

      3. 2023
    3. Stator Flux Linkage Estimation of Synchronous Machines Based on Integration Error Estimation for Improved Transient Performance
      Seunghun Jang, Kyunghwan Choi*
      Conference on Decision and Control (CDC), pp. 4197-4202, 2023 [Online] [Full-Text]

    Domestic Conference Papers


      2025
    1. Physics-Informed Online Learning for Stator Flux Linkage Estimation in Synchronous Machines
      동기전동기의 실시간 고정자 쇄교자속 추정을 위한 물리정보기반 학습
      Seunghun Jang, Kyunghwan Choi*
      제어로봇시스템학회 (ICROS), 2025 [Full-Text]

      2. 2024
    2. Stator Flux Linkage Estimation of Nonlinear Synchronous Machines Based on the State Observer
      상태 관측기 기반 비선형 동기기의 고정자 쇄교자속 추정
      Seunghun Jang, Kyunghwan Choi*
      제어로봇시스템학회 (ICROS), pp. 308-309, 2024 [DBpia Online] [Full-Text]

      3. 2023
    3. Sator Flux Linkage Estimation Method of Synchronous Machines Based on Integration Error Estimation
      적분 오차 추정 기반 동기 전동기의 쇄교 자속 추정 기법
      Seunghun Jang, Kyunghwan Choi*
      제어로봇시스템학회 (ICROS), pp. 177-178, 2023 [DBpia Online] [Full-Text]

    Master's Theses


      2024
    1. Online Stator Flux Linkage Estimation of Synchronous Machines
      Seunghun Jang, Kyunghwan Choi*
      Gwangju Institute of Science and Technology (GIST) Library, 2024 [Full-Text]