APPLICATION OF ITERATIVE LEARNING CONTROL TO COIL-TO-COIL CONTROL IN ROLLING

Iterative learning control is a feedforward control technique applied to systems or processes that operate in a repetitive fashion over a fi xed interval of time to improve tracking/regulation performance in res ponse to reference inputs/disturbance inputs that are repeatable in ea ch cycle. In this paper, learning control is applied to coil-to-coil g auge and tension control during the thread-up phase of a single stand cold mill, to compensate for disturbances caused by the variation of r oll bite friction. Simulations are carried out to demonstrate the effe ctiveness of learning control.