National Taipei University of Technology

Digital Power Control Laboratory 

陳世剛 (Shih-Gang Chen) 助理教授

Assistant Professor

Department of Electrical Engineering

National Taipei University of Technology, Taipei, Taiwan

Office: 綜科館322B室

Laboratory: 綜科館316

Tel: (02)2771-2171 #2155

E-mail: chensg@ntut.edu.tw

Shih-Gang Chen was born in Taipei, Taiwan. He received the B.S. degree in electrical engineering from Yuan Ze University, Taoyuan, Taiwan, in 2014, and the M.S. and Ph.D. degrees in Electrical Engineering from National Central University, Taoyuan, in 2016 and 2020, respectively.  He is currently an Assistant Professor with the Department of Electrical Engineering, National Taipei University of Technology (NTUT), Taipei, Taiwan. His research interests include motor servo drive systems, AC/DC converters, intelligent and nonlinear control theories, and DSP-based control systems.


Research Interests

  • Motor Drive Control
  • AC/DC Converter
  • Wearable Device
  • Nonlinear Control
  • Intelligent Control 
  • Artificial Intelligence
  • DSP-based Control System

  • Experiences

    2024/02 ~ Now    Assistant Professor, Department of Electrical Engineering, National Taipei University of Technology

    2021/08 ~ 2024/01 Senior Engineer, Technology Development/Planning Division, Semiconductor Inc.(Science park, Hsinchu)




    Awards & Honors

    1. 2021  Bronze Medal Award, 2021 Taiwan Innotech Expo Invention Award
    2. 2020  Best Paper Award, Proc. 17th Taiwan Power Electronics Conference
    3. 2020  Phi Tau Phi Honorary Member of the Republic of China
    4. 2019  President's Scholarship Award, National Central University
    5. 2019  Ph.D. Postgraduate Scholarship, National Central University
    6. 2013  Academic Excellence Scholarship Award, Yuan Ze University

    Journal Reviewer

    • IEEE Transactions on Power Electronics (2017/04~) 
    • IEEE Transactions on Fuzzy Systems (2017/07~) 
    • IET Power Electronics (2019/03~) 
    • IEEE Transactions on Cybernetics (2020/01~) 
    • IEEE Transactions on Industrial Electronics (2020/04~) 
    • Automatica (2020/08~) 
    • IEEE Journal of Emerging and Selected Topics in Industrial Electronics (2020/09~) 
    • Science Progress (2021/10~) 
    • IET Electric Power Applications (2021/12~) 
    • IET Energy Systems Integration (2021/12~) 
    • IEEE Access (2022/02~) 
    • IEEE Transactions on Intelligent Vehicles (2022/04~) 
    • IEEE Journal of Emerging and Selected Topics in Power Electronics (2022/05~) 
    • Electronics Letter (2022/06~) 
    • IEEE/ASME Transactions on Mechatronics (2022/08~) 
    • The Journal of Engineering (2022/09~) 
    • Advanced Control for Applications (2023/02~) 
    • Electrical Engineering (2023/06~) 
    • IEEE Journal of Emerging and Selected Topics in Industrial Electronics (2023/04~) 
    • CES Transactions on Electrical Machines and Systems (2023/07~) 
    • Scientific Reports (2023/08~) 
    • International Journal of Automotive Manufacturing and Materials (2023/08~) 
    • Optimal Control, Applications and Methods (2023/10~) 
    • Transactions of the Institute of Measurement and Control (2023/10~) 
    • IEEE Transactions on Consumer Electronics (2023/10~) 
    • International Journal of Circuit Theory and Applications (2023/10~) 
    • Computer Applications in Engineering Education (2023/11~) 
    • Green Energy and Intelligent Transportation (2023/11~) 
    • IEEE Transactions on Transportation Electrification (2023/11~) 
    • IEEE Transactions on Energy Conversion (2023/11~) 
    • IEEE Transactions on Industry Applications (2023/11~) 
    • IEEE Transactions on Industrial Informatics (2023/12~) 
    • Energies (2023/12~) 
    • Analog Integrated Circuits and Signal Processing (2023/12~)  
    • Electronics (2024/01~) 
    • IEEE Transactions on Automation Science and Engineering (2024/01~) 
    • IEEE Transactions on Circuits and Systems I: Regular Papers (2024/02~)  

    Project Reviewer

    • The Hong Kong Jockey Club Charities Trust on a STEM (2023/12~) (US$200)


    Research Projects



    Publications 

    SCI international journals: 14, Q1 papers: 8, Patents: 2

    A. SCI International Journal Papers:

    1. Z. F. Li, L. W. Huang, S. G. Chen, Y. T. Hsu, J. M. Hsu, M. S. Huang, "Analytical Approach for Estimating the Average Torque of Synchronous Motors by Using the Flux Density in the Air Gap," Energies, 2023, 16, 7832. (SCIE, IF 3.2, 80/119, Q3) 
    2. F. J. Lin, M. S. Huang, Y. C. Chien, and S. G. Chen, "Intelligent Backstepping Control of Permanent Magnet Assisted Synchronous Reluctance Motor Position Servo Drive with Recurrent Wavelet Fuzzy Neural Network," Energies, 2023, 16, 5389. (SCIE, IF 3.2, 80/119, Q3) 
    3. S. G. Chen, F. J. Lin, M. S. Huang, S. P. Yeh, and T. S. Sun, "Proximate Maximum Efficiency Control for Synchronous Reluctance Motor via AMRCT and MTPA Control," IEEE/ASME Trans. Mechatronics, vol. 28, no. 3, pp. 1404 - 1414, Jun. 2023.(SCIE, IF 5.867, 12/137, Q1)
    4. F. J. Lin, S. G. Chen, M. S. Huang, C. H. Liang, and C. H. Liao, "Adaptive Complementary Sliding Mode Control for Synchronous Reluctance Motor Based on Direct-Axis Current Control," IEEE Trans. Industrial Electronics, vol. 61, no. 1, pp. 141–150, Jan. 2022. (SCIE, IF 8.162, 6/65, Q1)
    5. S. G. Chen, F. J. Lin, C. H. Liang, and C. H. Liao, "Development of FW and MTPV Control for SynRM via Feedforward Voltage Angle Control," IEEE/ASME Trans. Mechatronics, vol. 26, no. 6, pp. 3254–3264, Dec. 2021. (SCIE, IF 5.867, 12/137, Q1
    6. S. G. Chen, F. J. Lin, C. H. Liang, and C. H. Liao, "Intelligent Maximum Power Factor Searching Control Using Recurrent Chebyshev Fuzzy Neural Network Current Angle Controller for SynRM Drive System," IEEE Trans. Power Electronics, vol. 36, no. 3, pp. 3496-3511, Mar. 2021. (SCIE, IF 5.967, 44/275, Q1
    7. F. J. Lin, S. G. Chen, S. Li, H. T. Chou, and J. R. Lin, "Online Auto-Tuning Technique for IPMSM Servo Drive by Intelligent Identification of Moment of Inertia," IEEE Trans. Industrial Informatics, vol. 16, no. 12, pp. 7579-7590, Dec. 2020.(SCIE, IF 11.648, 4/112, Q1
    8. F. J. Lin, M. S. Huang, S. G. Chen, C. W. Hsu, and C. H. Liang "Adaptive Backstepping Control for Synchronous Reluctance Motor Based on Intelligent Current Angle Control," IEEE Trans. Power Electronics, vol. 35, no. 7, pp. 7465–7479, Jul. 2020. (SCIE, IF 5.967, 44/275, Q1
    9. F. J. Lin, M. S. Huang, S. G. Chen, and C. W. Hsu, "Intelligent Maximum Torque per Ampere Tracking Control of Synchronous Reluctance Motor Using Recurrent Legendre Fuzzy Neural Network," IEEE Trans. Power Electronics, vol. 34, no. 12, pp. 12080-12093, Dec. 2019. (SCIE, IF 5.967, 44/275, Q1
    10. F. J. Lin, S. G. Chen, and C. W. Hsu, "Intelligent Backstepping Control Using Recurrent Feature Selection Fuzzy Neural Network for Synchronous Reluctance Motor Position Servo Drive System," IEEE Trans. Fuzzy Systems, vol. 27, no. 3, pp. 413-427, Mar. 2019. (SCIE, IF 12.253, 10/276, Q1
    11. F. J. Lin, S. G. Chen, W. A. Yu, and H. T. Chou "Online Autotuning of a Servo Drive: Using Wavelet Fuzzy Neural Networks to Search for the Optimal Bandwidth," IEEE SMC Magazine, pp. 28-37, Oct. 2018. (SCIE, IF 3.2)
    12. F. J. Lin, S. G. Chen, Y. T. Liu, and S. Y. Chen, "A Power Perturbation Based MTPA Control with Disturbance Torque Observer for IPMSM Drive System," Transactions of the Institute of Measurement and Control, vol. 40, no. 10, pp. 3179-3188, Oct. 2018. (SCIE, IF 2.146, 35/64, Q3)
    13. F. J. Lin, S. G. Chen, and I. F. Sun, "Intelligent Sliding-Mode Position Control using Recurrent Wavelet Fuzzy Neural Network for Electrical Power Steering System," International Journal of Fuzzy Systems, vol. 19, no. 5, pp. 1344-1361, Jun. 2017. (SCIE, IF 4.085, 64/164, Q2)
    14. F. J. Lin, S. G. Chen, and I. F. Sun, "Adaptive Backstepping Control of Six-phase PMSM Using Functional Link Radial Basis Function Network Uncertainty Observer," Asian Journal of Control, vol. 19, no. 6, pp. 2255–2269, Nov. 2017. (SCIE, IF 2.444, 40/65, Q3)


    B. Conference Papers:

    1. F. J. Lin, S. G. Chen, C. H. Liao, S. P. Yeh, and C. Y. Hung, "Maximum Power Factor Control Based on Intelligent Controller for SynRM Drive System," 42th R. O. C. Symp. on Electrical Power Eng., PE21-2060-011, 2021.
    2. F. J. Lin, M. S. Huang, S. G. Chen, C. H. Liang, and C. H. Liao, "Adaptive Backstepping Control Using Intelligent Speed Transient Control for Synchronous Reluctance Motor," Proc. 17th Taiwan Power Electronics Conference, PE20-2014-022, 2020. (Best Paper Award)
    3. F. J. Lin, S. G. Chen, and C. H. Liao, "Online Maximum Power Factor Searching Control for Synchronous Reluctance Motor Based on Current Angle Control," IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 278-283, Norway, 2020.
    4. W. L. Peng, Y. W. Lan, S. G. Chen, F. J. Lin, R. I. Chang, and J. M. Ho, "Reinforcement Learning Control for Six-Phase Permanent Magnet Synchronous Motor Position Servo Drive," 3rd IEEE International Conference on Knowledge Innovation and Invention (IEEE ICKII), 2020.
    5. F. J. Lin, S. G. Chen, H. T. Chou, and J. R. Lin, "Intelligent Online Auto-Tuning Technique for IPMSM Servo Drive," IEEE International Future Energy Electronics (IFEEC), #1153, Singapore, 2019.
    6. F. J. Lin, M. S. Huang, S. G. Chen, and C. W. Hsu, "Intelligent Maximum Torque per Ampere Tracking Control for Synchronous Reluctance Motor Drive System," Proc. 15th Taiwan Power Electronics Conference, 2019.
    7. F. J. Lin, S. G. Chen, and J. K. Chang, "Intelligent Wind Power Smoothing Control using Fuzzy Neural Network," International Conference Green Energy and Smart Grids, Irkutsk, Russia, E3S Web of Conferences 69, 2018.
    8. F. J. Lin, S. G. Chen, and C. W. Hsu, "Intelligent Backstepping Control of Synchronous Reluctance Motor Drive System," The 2018 International Automatic Control Conference (CACS), Taiwan, #1097, 2018.
    9. T. K. Juan, W. Y. Chiu, and S. G. Chen, "A framework for an automatic program detection system," 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE), pp. 104-105, 2015.

    C. Patents:

    1. F. J. Lin, S. G. Chen, and C. H. Liang, Motor Control System and Method, USA Patent, US 11,038,452, June 2021.
    2. F. J. Lin, S. G. Chen, and C. H. Liang, Maximum Power Factor Control Method for Motor Control System, Patent No. I723605, R. O. C., Apr. 2021.
    3. .


    Contact us: chensg@ntut.edu.tw

    地址 : 106 台北市大安區忠孝東路3段1號  國立臺北科技大學電機工程系      電話 : (02)2771-2171 #2155

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