Assist. Prof. Dr. Zhe Song | Magnet Motor | Research Excellence Award

Assist. Prof. Dr. Zhe Song | Magnet Motor | Research Excellence Award

Assist. Prof. Dr. Zhe Song | Magnet Motor | Teacher at China University of Mining and Technology, China

Assist. Prof. Dr. Zhe Song is a dedicated researcher and engineer specializing in mechanical and electrical engineering, with strong interdisciplinary expertise in control systems and advanced engineering design. Assist. Prof. Dr. Zhe Song completed a Ph.D. in Mechanical Engineering at Xi’an Jiaotong University, including a joint doctoral program in Electrical Engineering at Columbia University, after earning a Master’s degree in Mechanical and Electrical Engineering from Nanjing University of Aeronautics & Astronautics and a Bachelor’s degree in Mechanical Design and Automation from Shandong University of Technology. Professionally, Assist. Prof. Dr. Zhe Song served as an Assistant Researcher at Tsinghua University, following roles as a Servo Control Engineer at Beijing Institute of Automatic Control Equipment and Electrical Control Engineer at the Chinese Academy of Sciences. The research interests of Assist. Prof. Dr. Zhe Song include servo control systems, embedded systems, electromechanical integration, and intelligent control technologies. Assist. Prof. Dr. Zhe Song possesses strong research skills in programming (C, C++, Assembly), microcontroller systems (89C51/S52, AVR, TMS320F2812/28335), and engineering software such as MATLAB, Altium Designer, AutoCAD, SolidWorks, UG-NX, Abaqus, Ansys, and Adams. Although specific awards and honors are not listed, Assist. Prof. Dr. Zhe Song demonstrates excellence through impactful research and technical contributions. Overall, Assist. Prof. Dr. Zhe Song stands out as a skilled academic and professional with a solid foundation and promising contributions to engineering innovation.

Citation Metrics (Scopus)

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Citations
191
i10index
23

h-index
8

              🟦 Citations 🟥 Documents 🟩 h-index

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Selected Publications

Zhe Song, Jun Yang, Tao Tao, et al. Coefficient Self-Tuning Speed Compensation Control Method for Permanent Magnet Synchronous Motor
– Journal of Xi’an Jiaotong University, 2022, 56(06): 67-75 (EI Indexed)

Zhe Song, Jun Yang, Xuesong Mei, et al. Deep Reinforcement Learning for Permanent Magnet Synchronous Motor Speed Control Systems
– Neural Computing and Applications, 2020, 33: 5409–5418 (SCI Indexed)

Zhe Song, Jun Yang, Xuesong Mei, et al. Hybrid Current Loop Timing Control Method for Permanent Magnet AC Servo Systems
– Journal of Mechanical Science and Technology, 2020, 32(12): 5247–5259 (SCI Indexed)

Zhe Song, Jun Yang, Xuesong Mei, et al. Harmonic Current Suppression Method with Adaptive Filter for Permanent Magnet Synchronous Motor
– International Journal of Electronics, 2021, 108(6): 983–1013 (SCI Indexed)

Zhe Song, Xuesong Mei, Tao Tao, et al. The Sliding-Mode Control Based on a Novel Reaching Technique for Permanent Magnet Synchronous Motors
– Electric Power Components and Systems, 2019, 47(16–17): 1505–1513 (SCI Indexed)

Zhe Song, Jun Yang, Xuesong Mei, et al. An Adaptive Speed Control Method with Anti-Inertia Disturbance Performance for Permanent Magnet Synchronous Motors
– Journal of Xi’an Jiaotong University, 2020, 54(12): 14–21 (EI Indexed)

Zhe Song, Xuesong Mei, Gedong Jiang. Inertia Identification Based on Model Reference Adaptive System with Variable Gain for AC Servo Systems
– 2017 IEEE International Conference on Mechatronics and Automation, Takamatsu, Japan, 2017: 188–192 (EI Indexed)