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.