Advanced Control of Chemical Processes (ADCHEM'91): Selected by K. Najim, E. Dufour

By K. Najim, E. Dufour

This quantity includes forty papers which describe the new advancements in complicated regulate of chemical procedures and comparable industries. the subjects of adaptive keep watch over, model-based regulate and neural networks are lined via three survey papers. New adaptive, statistical, model-based keep an eye on and synthetic intelligence concepts and their functions are distinctive in different papers. the matter of implementation of keep watch over algorithms on a electronic laptop is usually thought of.

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Extra resources for Advanced Control of Chemical Processes (ADCHEM'91): Selected Papers from the IFAC Symposium, Toulouse, France, 14-16 October 1991 (IFAC Symposia Series)

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Piirto a n d H . O. Box 527, SF-33101 Tampere, Finland A b s t r a c t . Three advanced methods for controlling a paper machine wet end are presented: a) retention control, b) head box consistency control, and c) head box multivariable pressure and level control. All these methods improve the paper quality. These methods have been tested using an advanced data acquisition and control station. Some modern control algorithms have been implemented in the software package of the control station and it is possible to change both the control algorithms and their parameters on-line.

Because of this, when using strategy a it is necessary to use some sort of adaptive control, in this study we used an STC (Self-Tuning Controller). In strategy b two normal The following modern control strategies are proposed here for S IS Ο PID-controllers are sufficient. In strategy b the most controlling the wet end: important thing is to keep both the head box consistency and wire pit consistency as constant as possible, which will produce constant A - Retention aid flow retention. 1 - Retention Β - High consistency pulp flow 2 - Consistency in the head box C - Feed pump speed 3 - Head box pressure D - Air inlet/outlet valve 4 - Level in head box [ I Control signals Measurements Fig.

Duque and M. Samaan (1989). Example applications of the partial state model reference adaptive design technique. International Journal of Adaptive Control and Signal Processing, vol 3, n° 2, pp. 155-165. D. Landau and M. Samaan (1990). Further evaluation for partial state model reference adaptive design. International Journal of Adaptive Control and Signal Processing, vol 4, n° 2, pp. 133-148. The parameter estimator robustness with respect to time varying dynamics is demonstrated by the ability of the adaptive controller to perform well when moving from a set point to another.

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