Multi-model based gain-scheduling sliding mode control design for an intelligent railway vehicle system

This paper deals with an intelligent railway vehicle system subjected to changing conditions of operation, embodied as vehicle velocity and track curvature parameter variations. The main purpose of control design, therefore is to achieve robustness against parameter changes and at the same time to reject track disturbances. Generally such big parameter variations can not be handled properly by a fixed gain controller, therefore the applicability of gain-scheduling control technics are examined. To handle the problem a brand new method, the multi-model based gain-scheduling sliding mode control approach is proposed.