Controller design for suspension system of EMS maglev train based on Youla parameterization

Abstract

The suspension system of EMS medium and low speed maglev train is a self-unstable and nonlinear system. At the same time, it is affected by external disturbance and internal uncertainty during train operation. Thus, it is a challenging work to design its controller. In this article, the coprime decomposition of the suspension system model is carried out firstly, then the polynomial satisfying Bezout identity is obtained by Euclid's algorithm. Next, the suspension controller can be obtained by designing a reasonable filter Q. Finally, the simulation in Matlab/Simulink verifies the effect of the designed controller. This article creatively applies Youla parameterization and coprime decomposition to the controller design of suspension system, which not only broadens the application fields of these algorithms, but also provides a new idea for the controller design of suspension system. So that the degree of freedom of controller design is increased and the parameter adjustment of the controller has more flexible operation space, which promotes the suspension system to better deal with different working conditions when the train runs in different scenarios.