Application of adaptive predictive control for the bottom temperature of a glass furnace
(1987) Adaptive Systems in Control and Signal Processing 1986. Proceedings of the 2nd IFAC Workshop — Location: Lund, Sweden (1.July.1986)
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- Abstract
- The paper described an application of adaptive predictive control to the bottom temperature of a glass furnace. This control is part of a hierarchical control structure which aims at optimizing the working of the furnace, from an economical point of view. The control of the bottom temperature is a difficult part in this control structure, because of the poor physical knowledge of the system and the very large time constants. The control design is based on a simple low order linear model with unknown and possibly time-varying parameters. The time variations of these parameters can account for the variations of the simple linear model with the load. The control algorithm is based on the classical Clarke-Gawthrop self-tuning algorithm (1975, 1979). However, in this particular case, the classical structure has been modified in order to introduce specifically a feedforward compensation of the load. This algorithm has been tested through several simulations. It has been implemented online on the real process for more than a year, showing the real possibilities of these modern control techniques for industrial processes.
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Citations
Wertz, V. (1987). Application of adaptive predictive control for the bottom temperature of a glass furnace. In Astrom, K.J.; Wittenmark, B.; (ed.), Adaptive Systems in Control and Signal Processing 1986. Proceedings ofthe 2nd IFAC Workshop (p. p. 213-217). Pergamon. https://hdl.handle.net/2078.5/221133