Adaptive predictive control for electric furnace

This paper shows adaptive control using RHPC (receding horizon predictive control) with an equality constraint which is applied to an electric furnace. Monotonic weighting and prefiltering are introduced, which improve the closed-loop characteristic of the RHPC system. These methods are effective even if the system has the uncertainty (unmodelled dynamics) which often occurs in real processes. We can observe the performance of RHPC through the experiment of the electric furnace. Also, we confirm the practical aspect of RHPC in the experiment of the electric furnace with unmodelled dynamics. This paper shows the actual control performance of RHPC, verifying it for a real process.