CONTROL OF BRIDGE CRANE INTERCONNECTED ELECTRIC DRIVER MOVEMENT

Abstract

The control methods of bridge crane interconnected electric drive movement using genetic algorithms that allow the movement of the bridge crane without wheel flanges contact with the rails is proposed. General regulator feedback tuning and identification of the installation tilt angles of the wheels are implemented on the model using genetic algorithms