Speed Control of an Experimental Hot-rolling Mill Using Generalised Predictive Control

نویسندگان

  • Miguel Angel Gama
  • Mahdi Mahfouf
چکیده

The application of Generalised Predictive Control (GPC) for an experimental hot-rolling mill is presented in this paper. GPC has been implemented to provide the mill with good speed control and regulation when steel and aluminium hot-rolling experiments are carried out. Using an identification mechanism, GPC first estimates the mill’s model and predict the future behaviour of the rolling speed to finally calculate a sequence of future control actions. The performance of GPC was evaluated via simulations and realtime experiments under different operating conditions. From such experiments it can be concluded that the proposed control scheme performs reasonably well, showing good robustness and disturbance rejection in all operating modes. Copyright © 2006 IFAC

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تاریخ انتشار 2006