Control and Optimization Design of Magnetic Levitation System of High-speed Maglev Train Based on Youla Parameterization

Abstract:

In order to solve the performance degradation problem of magnetic levitation system of hign-speed maglev train during long-term operation， the complex dynamic characteristics of magnetic levitation system was analyzed to build a plug and play modular control and optimization architecture based on Youla parametric form， and an online optimization algorithm based on residual was designed. Simulation results show that the designed control and optimization architecture and online optimization algorithm improve the robustness and adaptability of the magnetic levitation system for unknown disturbance effectively.

Key words:high-speed maglev train;performance degradation;Youla parameterization;residual;online optimization