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Application of iterative learning control to coil-to-coil control in rolling

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2 Author(s)
S. S. Garimella ; Process Control Center, Alcoa Center, PA, USA ; K. C. Srinivasan

Iterative learning control is a feedforward control technique applied to systems or processes that operate in a repetitive fashion over a fixed interval of time to improve tracking/regulation performance in response to reference inputs/disturbance inputs that are repeatable in each cycle. In this paper, learning control is applied to coil-to-coil gauge and tension control during the thread-up phase of a single stand cold mill, to compensate for disturbances caused by the variation of roll bite friction. Simulations are carried out to demonstrate the effectiveness of learning control

Published in:

IEEE Transactions on Control Systems Technology  (Volume:6 ,  Issue: 2 )