An active resisting disturbance control method for high-speed maglev train with weak model dependence

Area of Science:

• Control Systems Engineering
• Transportation Engineering
• Mechatronics

Background:

• Increasing speeds of high-speed maglev trains exacerbate external disturbances, degrading electromagnetic levitation (EML) system stability and dynamic performance.
• Enhanced disturbance rejection is critical for safe and stable operation of EML systems in high-speed rail.

Purpose of the Study:

• To propose a novel, weakly model-dependent active disturbance rejection control method for EML systems.
• To improve the disturbance rejection capability and overall control performance of high-speed maglev trains.

Main Methods:

• A hybrid control strategy combining Model Reference Adaptive Control (MRAC) and Active Disturbance Rejection Control (ADRC).
• Utilizing a Linear Extended State Observer (LESO) for disturbance estimation and compensation based on nominal model parameters.
• Incorporating a Tracking Differentiator (TD) for system state extraction to construct the MRAC law.
• Employing Lyapunov stability theory to rigorously prove system stability under the proposed control law.

Main Results:

• The proposed MRAC-ADRC method demonstrates superior disturbance rejection compared to PID, SMC, and standalone ADRC.
• The control performance remains robust and insensitive to variations in model parameters and equilibrium points.
• Simulation and physical experiments validate the effectiveness of the proposed control strategy.

Conclusions:

• The developed active resisting disturbance control method effectively enhances the stability and dynamic performance of EML systems.
• The hybrid MRAC-ADRC approach offers a promising solution for improving the safety and reliability of high-speed maglev transportation.
• Weak model dependence and robust disturbance rejection are key advantages of this novel control strategy.