ATO Adaptive Robust Control Algorithm for High-speed Train in Strong Wind

The operation of high-speed trains in strong wind environment is a strong coupling and highly nonlinear process, and with the increase of wind speed, this characteristic gradually increases, which seriously affects the safety of high-speed trains. In order to overcome the time-varying parameters and nonlinear uncertainty of high-speed train operation process model under strong wind environment, an adaptive robust control algorithm is proposed in this paper, based on the Lyapunov stability theory, an ATO adaptive robust controller for high-speed trains is designed. The controller can overcome the adverse effects of parameter variations and wind disturbance, and ensure the robust global asymptotic stability and good tracking dynamic performance of the system. The simulation results verify the feasibility of the controller.