Abstract ▼ AI-Helper

In this thesis, a fuzzy-PI smith controller is proposed for Automatic Gauge Control in a 5-stand tandem cold rolling mill. The controller is basically comprised of smith predictive control, fuzzy control, and PI control. The smith predictive control method is used to eliminate the time delay element...

In this thesis, a fuzzy-PI smith controller is proposed for Automatic Gauge Control in a 5-stand tandem cold rolling mill. The controller is basically comprised of smith predictive control, fuzzy control, and PI control. The smith predictive control method is used to eliminate the time delay element generated by thickness measurement which is installed far away from the mill stand. Furthermore, the fuzzy control scheme is exploited to tune the parameters of PI controller automatically. The verification of control performance for the fuzzy-PI smith controller is conducted by using Hardware-In-the-Loop Simulator. The simulation results show that the proposed controller yields smaller undershoot, faster settling time, stronger robustness, and higher control accuracy compared to Monitor AGC and Mass Flow AGC which are widely and currently used in the steel industry.

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