A5080243233- Magnetic Bearings and Levitation Dynamics
- Electric Motor Design and Analysis
- Physics of Superconductivity and Magnetism
- Wireless Sensor Networks for Data Analysis
- Innovative Energy Harvesting Technologies
- Wireless Power Transfer Systems
- Advanced Algorithms and Applications
- Sensorless Control of Electric Motors
- Vibration Control and Rheological Fluids
- Aerospace Engineering and Control Systems
Southwest Jiaotong University
2022-2024
The permanent magnet electrodynamic wheel system is a competitive alternative for the implementation of maglev car due to its levitation–propulsion integration ability. However, temperature rise conductive plate may deteriorate operational performance even result in suspension failure, which underlines importance thermal analysis. In this article, thermal-force coupling analysis conducted by experiment combined with co-simulation method. First, heat resource generated power loss obtained and...
By the merits of self-stability, low energy consumption, and no-mechanical friction, high temperature superconducting (HTS) pinning magnetic levitation (maglev) occupies a key position in high-speed rail transit. As guarantee to achieve its stable operation, accurate description nonlinear levitation-guidance coupling force for HTS maglev is most crucial. However, existing dynamic studies always adopted hyperelastic model illustrate forces, simplified vertical-lateral effect constrained...
The self-stabilization and absence of the drag force in high-temperature superconducting system (HTS) render its competitive edge over others, successful development first high-speed engineering prototype validates potential. However, addressing braking challenge has become a significant concern. In this work, split-guideway permanent magnet eddy current brake (PMECB) with enhanced ability is proposed. Analytical models that consider induced truncation section source magnetic field are...
Due to self-stable levitation, high-temperature-superconducting (HTS) pinning maglev system has a great potential become high-speed transportation mode. As its most significant factor, operation stability and safety reflected by monitoring of vehicle vibration states during running procedure should get more attention. However, both the inadequacy previous researches continuous growth conditions increase detection difficulty HTS vibration. Therefore, this paper adapts deep learning algorithm...
A model predictive control (MPC) method based on Q-learning algorithm, named QMPC, is proposed for weakly damped, nonlinear and open-loop unstable magnetic levitation platform (MLP) systems. In addition, the design of MPC controller MLP system, state space system airgap, action horizon horizon, reward punishment function are also included in this research. Based Simscape MATLAB/Simulink, joint simulation realized. Compared with PID traditional controller, results show that QMPC has better...