The application of improved parameter-adaptive algorithm based on U-model in AGC control system of cold rolling mill

An improved parameter-adaptive controller based on different status in the rolling process is proposed for rolling force prediction of single stand cold rolling mill to satisfy industrial requirements. Based on the U-model in complex automatic gauge control (AGC) methods, the improved parameter-adaptive controller with parameter variation is carried out in rolling force model. Quality problem caused by varying plastic parameter is solved with the new algorithm. The simulation results verify the superiority of the proposed algorithm in comparison with an existing LMS self-tuning controller. From the field experiment of 400mm high precision experimental cold rolling mill, the predictive accuracy has been improved with the improved parameter-adaptive algorithm, and satisfies the requirements for production of ultra-thin, high-strength grain oriented silicon steel.