Representative Achievements and Academic Impact
(1) To ensure the levitation stability of high-speed maglev trains, a sliding mode control method based on sliding mode reaching law was proposed, incorporating bifurcation theory. An acceleration feedback correction and adaptive control module was developed using a Radial Basis Function (RBF) network. Experimental results demonstrate that under complex disturbances, the proposed control algorithm significantly reduces the variation range of the levitation gap with smoother control current and effectively suppresses vehicle-track magnetic force coupling vibrations. (IEEE Trans. Transp. Electr., 2022; provides insights for optimizing levitation systems under complex operating conditions).
(2) A neural network-based state observer was proposed to estimate the system states and parameter matrices of maglev train levitation systems. Subsequently, an inverse control algorithm with strong regulation capabilities was designed by integrating output constraints and Lyapunov functions, ensuring system stability under disturbances. (IEEE Trans. Veh. Technol., 2023; offers fault-tolerant solutions for occasional sensor failures in levitation systems, partially applied in Changsha medium-low speed maglev lines).
(3) Based on actual test data, the dynamic response between track girders of varying stiffness and maglev train bodies/levitation systems was analyzed. Focus was placed on system parameter identification for nonlinear components of levitation systems and the design of nonlinear control algorithms. The findings provide valuable references for optimizing levitation-suspension systems of medium-low speed maglev trains, guiding track design, and establishing construction standards for maglev track-bridge systems. (J. Vib. Control, 2023;Veh. Syst. Dyn., 2022; awarded theSecond Prize of the Wu Wenjun Artificial Intelligence Science and Technology Progress Awardin 2022; offers theoretical foundations for enhancing levitation performance while reducing construction costs of maglev track girders).
Relevant Research Project Experience
（1）National Natural Science Foundation of China - Young Scientists Fund (Category C) (Project No. 52502449): "Mechanism of Multi-Source Compound Excitation and Adaptive Optimization of Levitation Control for 600 km/h High-Speed Maglev Transportation Systems"
（2）National Natural Science Foundation of China - Joint Fund for Railway Innovation and Development: "Research on Aerodynamic Drag Reduction Technology for High-Speed Maglev Trains Based on Stability-Constrained and Safety Control Constraints"
（3）Enterprise ProjectUndertaken for CRRC Zhuzhou Locomotive Co., Ltd.: "Research on Theoretical Modeling and Stability Control of Flexible Levitation Modules"
（4）National Natural Science Foundation of China General Program (Project No. 52572415): "Research on Dynamic Stability Domain Reshaping and Self-Evolutionary Control of High-Speed Maglev Levitation Systems Based on Immune-Inspired Mechanisms"
（5）National Natural Science Foundation of China General Program (Project No. 52072269): "Research on the Coupled Disturbance Mechanism of Two-Point Levitation Systems for Maglev Train Electromagnets"
（6）Enterprise Project for China Railway Second Survey and Design Institute (CRSSDI): "Research on Key Technologies of Track Structure and Geometric Smoothness Standards for High-Speed Maglev Transportation Systems"
（7）Enterprise Project for CRRC Zhuzhou Locomotive Co., Ltd.: "Research on Vehicle-Track Coupling Mechanism of Maglev Trains"
（8）Enterprise Project for CRRC Xinzhu Co., Ltd.: "Development and Commissioning of Levitation Control Software for Embedded Maglev Vehicles"
（9）Enterprise Project for Fenghuang Maglev: "Levitation Control Software Design and Commissioning for the Phoenix Maglev Cultural Tourism Project"
（10）Subproject of Hunan Province Major Science and Technology Program: "Research on Levitation Control Algorithms for 160 km/h Rapid Maglev Trains"
（11）Subproject of Hunan Province High-Tech Industry Science and Technology Innovation Leadership Program: "Research on Dynamic Magnetic-Rail Interaction Relationship in Long-Stator Medium-Speed Maglev Systems"
（12）"Thirteenth Five-Year" National Key R&D Program of China (2016YFB1200601): "Research on Key Technologies for Medium-Speed Maglev Transportation Systems"
（13）"Thirteenth Five-Year" National Key R&D Program of China (2016YFB1200602): "Research on Simulation Verification and Optimal Design of Key Technologies for High-Speed Maglev Transportation Systems
（14）Major Consulting Research Project of the Chinese Academy of Engineering (2018-ZD-16): "Strategic Research on Low-Vacuum Pipeline Ultra-High-Speed Maglev Railway — Subproject 3: Research on Key Technologies of Normal Conduction Maglev Systems"
（15）Enterprise Project for Hunan Rail Transit Application Research Center Co., Ltd.: "Novel Integrated Girder-Track Levitation System"
Honors & Awards
[1]China Invention Association Invention and Entrepreneurship Award, Innovation Award (Second Prize),2025（2/6）
[2]China Industry-University-Research Collaborative Innovation Achievement Award (Second Prize),2022（10/12）
[3]Wu Wenjun Artificial Intelligence Science and Technology Award - Scientific and Technological Progress Award (Second Prize),2021（12/14）
[4]Outstanding Graduate of Tongji University, 2023
[5]National Scholarship for Outstanding Doctoral Students, 2022
[6]Tongji University-Level Scholarship, 2021
[7]Tongji University Outstanding Doctoral Freshman Scholarship, 2020
[8]A Redundant Fault-Tolerant Control System for EMS-Type High-Speed Maglev Train Suspension Frames, Invention Patent, 2024
[9]A Debugging Method for Maglev Train Suspension Systems Based on Digital Twin Technology, Invention Patent, 2022
[10]A Suspension Controller with Heterogeneous Redundancy of Control Boards, Invention Patent, 2025
[11]A Dynamic Suspension Control Method for Maglev Trains Combined with Vibration Identification, Invention Patent, 2022
[12]A Magnetic Coupling Test System for High-Speed Maglev Suspension and Guidance Adaptability Analysis, Invention Patent, 2023
[13]A Suspension Control System and Control Method for Maglev Trains, Invention Patent, 2021
[14]A Suspension Control Simulation Platform for High-Speed and Medium-Low-Speed Maglev Trains, Invention Patent, 2021
[15]A Maglev Train Suspension Control System Based on Ethernet Communication, Invention Patent, 2024
[16]A Signal Processing Method and System for Suppressing Lateral Impact Interference in Maglev Train Suspension Systems, Invention Patent, 2024
[17]A Debugging Method and System for Suspension Controllers Based on Wireless Network Communication, Invention Patent, 2024
[18]A Redundant Suspension Control System and Method Based on Vehicle-Track State Monitoring, Invention Patent, 2024
[19]A Control Method and System for Suppressing Lateral Impact Interference in Maglev Train Suspension Systems, Invention Patent, 2021
Publications
[1]Chen C, Xu J, Lin G, et al. Sliding mode bifurcation control based on acceleration feedback correction adaptive compensation for maglev train suspension system with time-varying disturbance[J]. IEEE Transactions on Transportation Electrification, 2022, 8(2): 2273-2287.
[2]Chen C,Xu J, Rong L, et al. Neural-network-state-observation-based adaptive inversion control method of maglev train[J]. IEEE Transactions on Vehicular Technology, 2022, 71(4): 3660-3669.
[3]Chen C, Xu J, Lin G, et al. Model identification and nonlinear adaptive control of suspension system of high-speed maglev train[J]. Vehicle System Dynamics, 2022, 60(3): 884-905.
[4]Chen C, Xu J, Jiachen Yang, et al.Dynamic Analysis of High-Speed Maglev Magnetic Coupling and Experimental Study on Vehicle-Bridge Characteristics[J].Journal of Vibration and Control, 2025.
[5]Chen C,Xu J, Wang W, et al. Parameter Identification and Control of Maglev Train Levitation System Based on Data-driven Approach[J].Journal of the China Railway Society, 2025,47(07):40-51..
[6]Chen C, Xu J, Lu Y, et al. Experimental study on vertical vehicle-rail-bridge coupling of medium and low speed maglev train based on track beam with different stiffness[J]. Journal of Vibration and Control, 2023, 29(17-18): 4129-4142.
[7]Chen C, Xu J, Lin G, et al. Sliding Mode Control of Maglev Train Levitation System with Radial Basis Network Acceleration Feedback [J]. Journal of Tongji University (Natural Science), 2021, 49(12): 1642-1651.
[8] Yougang S,Chen C, Xu J, et al. Research on coupled vibration mechanism of vehicle-rail system considering the effect of track elasticity on time delay[C]//2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2019: 137-141.
[9]Chen C, Xu J, Ni F, et al. Active Control of Maglev Train Vertical Vibration Based on Artificial Intelligence Load Estimation System [J]. Journal of Tongji University (Natural Science), 2020, 48(9): 1344-1352.
[10] Junqi X,Chen C*, Yougang S, et al. Nonlinear dynamic analysis of coupled vibration of beam and pendulum[C]//2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2019: 702-707.
[11]Chen C*, Xu J, Ji W, et al. Adaptive levitation control for characteristic model of low speed maglev vehicle[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 234(7): 1456-1467.
[12] Xu J,Chen C*, Sun Y, et al. Nonlinear dynamic characteristic modeling and adaptive control of low speed maglev train[J]. International Journal of Applied Electromagnetics and Mechanics, 2020, 62(1): 73-92.
[13]Chen C, Xu J, Lin G, et al. Fuzzy adaptive control particle swarm optimization based on TS fuzzy model of maglev vehicle suspension system[J]. Journal of Mechanical Science and Technology, 2020, 34(1): 43-54.
[14]Dong D,Chen C*, Sun Y, et al. Dynamic Modeling and Control of Nonlinear Magnetic Levitation System [J]. Mechanical Design and Manufacturing,2019,(11):16-19+24.
[15]Chen C, Xu J, Rong L, et al. Nonlinear Dynamic Characteristics of Maglev Vehicles under Random Track Irregularities [J]. Journal of Transportation Engineering, 2019, 19(4): 115-124.
[16] Xu J,Chen C*, Sun Y, et al. Nonlinear dynamic analysis of Maglev Vehicle Based on flexible guideway and random irregularity[J]. International Journal of Applied Electromagnetics and Mechanics, 2019, 60(2): 263-280.
[17] Gao D,Chen C*, Lin G, et al. Research on car-body strength evaluation method of Shanghai high-speed Maglev[C]//2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE). IEEE, 2019: 340-346.
[18]Chen C, Xu J, Ji W, et al. Sliding mode robust adaptive control of maglev vehicle’s nonlinear suspension system based on flexible track: Design and experiment[J]. IEEE Access, 2019, 7: 41874-41884.
[19] Xu J,Chen C*, Lin G, et al. Multi point suspension cooperative modeling and control of low speed maglev vehicle[C]//2018 Chinese Automation Congress (CAC). IEEE, 2018: 3317-3322.