Ji Wen, Ph.D, Master’s Supervisor. Research Focus: Intelligent control of maglev train suspension, fault diagnosis, and fault-tolerant control. With extensive years of dedicated research in maglev train suspension control, he possesses a solid theoretical foundation and rich practical engineering experience. He has conducted in-depth research in areas such as suspension control and vehicle-track relationships, covering theoretical studies, technological implementation, and engineering validation, achieving abundant research outcomes. As a core team member, he participated in five consecutive national Five-Year Plan projects, including the “10th Five-Year Plan” National 863 Program Major Project on High-Speed Maglev, and the “11th Five-Year Plan,” “12th Five-Year Plan,” “13th Five-Year Plan,” and “14th Five-Year Plan” National Sci-Tech Support Program Major Projects on High-Speed Maglev Transportation. He also played a key role in the Shanghai Municipal Science and Technology Commission’s project “Research on Key Technologies for Engineering Application of Medium and Low-Speed Maglev Transportation.” In recent years, he has led several national and provincial/ministerial-level projects, including those supported by the National Natural Science Foundation, the Shanghai Aerospace Innovation Fund, the Major Open Fund Project of the National Key Laboratory of High-Speed Maglev Transportation Technology, and the Shanghai Multi-Network Multi-Mode Rail Transit Collaborative Innovation Project. As a core member of the suspension technology team, he contributed to the development of the medium- and low-speed maglev suspension control system. This system has been successfully deployed in projects such as the Changsha Maglev Airport Line and the Fenghuang Maglev Cultural Tourism Line, receiving consistent high praise from clients. His achievements have earned numerous awards, including: 2020 Shanghai Technology Invention Award (Second Class); 2021 Wu Wenjun AI Science and Technology Progress Award (Second Class); 2022 China Industry-University-Research Collaboration Innovation Achievement Award (Second Class); 2023 Shanghai Natural Science Award (Second Class, Rank 3); 2024 China Invention Association Innovation and Entrepreneurship Award (Second Class, Rank 1). He has published over 30 papers and holds more than 30 authorized patents.
Education
2016.09 to 2024.12, Southwest Jiaotong University, Vehicle Engineering, Ph.D.
2012.07 to 2013.09, University of Sheffield, UK, Electronic and Electrical Engineering, M.Sc.
2004.09 to 2008.06, Nanjing University of Aeronautics and Astronautics, Electrical Engineering and Automation, Bachelor of Science
Experience
2024.12 to Present, Tongji University, Maglev Transportation Engineering R&D Center.
2013.12 to 2024.11, Tongji University, Maglev Transportation Engineering R&D Center.
2012.10 to 2013.11, Tongji University, Maglev Transportation Engineering R&D Center.
2012.07 to 2012.09, Shanghai Maglev Transportation Engineering R&D Center, Vehicle Research Laboratory.
2008.07 to 2012.06, Shanghai Maglev Transportation Development Co., Ltd., Vehicle Department.
Research interests
Intelligent control of maglev train suspension, fault diagnosis, fault-tolerant control etc.
Honors & Awards
1. Advanced Magnetic Control Technology and Optimization for Conventional Conductor Maglev Transportation, China Association of Invention, Invention, Other, 2024. (1/5)
2. Dynamics and Control Methods for Maglev Vehicle Systems in Complex Environments, Shanghai Municipal People's Government, Natural Science, Provincial/Ministerial Second Prize, 2024. (3/5)
Publications
1. First Author, Intelligent Fault-Tolerant Control for High-Speed Maglev Transportation based on Error-Driven Adaptive Fuzzy Online Compensator, IEEE Transactions on Intelligent Transportation Systems, 2025. (Top Journal)
2. First Author, Multiple Models-Based Fault Tolerant Control of Levitation Module of Maglev Vehicles against Partial Actuator Failures, IEEE Transactions on Vehicular Technology, 2024, 74(2):2231-2240. (Top Journal, ESI Highly Cited)
3. Corresponding Author, Data Driven Fuzzy Sliding Mode Observer-Based Control Strategy for Time-Varying Suspension System of 12/14 Bearingless SRM, IEEE Transactions on Fuzzy Systems, 2024, 33(1): 145-155. (Top Journal, ESI Highly Cited)
4. Corresponding author, High-Precision Stable Control Method for the Rotor Axis Trajectory of Flywheel Energy Storage in Maglev Trains. Journal of Vibration and Control. 2025.
5. Corresponding author, Robust Control for Suspension System of Maglev Train Considering Parametric Uncertainty and Unidirectional Input Constraint. IEEE Transactions on Industry Applications. 2025.
6. Corresponding author, Spprnet: A Robust CNN for Library Material Recognition via Spatial Pyramid Pooling and Heterogeneous Convolution. Computational Intelligence. 2025. 41(4).
Patents
1 Fault-Tolerant Control Method and System for High-Speed Maglev Train Actuator Failures, 2025.
2 Contact-Type Power Supply Traction Device for Urban Rail Transit, 2024.
3 Energy Consumption Measurement Device for Urban Rail Transit, 2024.
4 Intelligent Vibration Suppression Device for Maglev Trains, 2025.