A New Control Method of Automatic Train Operation in Urban Rail Transit Based on Improved Generalized Predictive Control Theory

Automatic train operation (ATO) control algorithm is developing very fast, providing a stage for the application of advanced control algorithm. Generalized predictive control (GPC) is widely concerned in recent years, which uses multi-step prediction, rolling optimization, and feedback correction control strategy to get a good control result. In this paper, the improved GPC algorithm is applied, the optimized target of which is added an overshoot-reduced item to optimize multiple objectives. By using input saturation constraint strategy, passenger comfort is ensured. The simulation results show the effectiveness of this method.