Particle-optimized control for automatic train operation based on sliding mode observer

This paper investigates the automatic control problem of high speed train systems under uncertain resistance conditions such as time-varying resistance, unknown aerodynamic drag and wind gust. A sliding mode observer (SMO) based control method is designed for tracking given position-velocity profile precisely. The control method is disturbance rejective that does not rely on specific resistance coefficient. Proposed Method´s parameters have been optimized by particle swarm optimization. The effectiveness of the proposed method is verified via numerical simulations.