Predictive control of high-speed train based on data driven subspace approach

Along with raising of train speeds, dynamic interaction between train and catenary, track and air intensifies, which sets high requirements for modeling and control of high-speed trains. In this paper, the predictive controller, based on data driven subspace approach, was designed for high-speed trains. The high-speed train multivariate dynamic system was established on the basis of the state space model. The high-speed train predictive subspace model was designed from input and output data. The method of designing the predictive controller was analyzed in detail and the predictive control algorithm was given. Through numerical simulation of high-speed trains, the effectiveness of the proposed control method is proved.