By International Federation of Automatic Control, Heinz Unbehauen
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Extra resources for Adaptive Control of Chemical Processes 1985
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GL(z) = BL(z) / AL(z) where, BL(z) = ft»-» + ... + /V" m , (5) AL(z) = 1 - α,ζ"1 - ... - a m z- m , (6) and m is the order of the load transfer function. r L(z) — bL^; C(z) Gp(2) ► Wellons and Edgar (1985) have tested the GAP algorithm for a wide range of dynamic systems and have shown that a filter improves the robustness of the predictor. Here we combine the Wellons- Edgar GAP with the Zafiriou—Morari IMC controller for use with adaptive systems. The development is based on the block diagram shown in Fig.
5 5 Mr Mz M¥ I 0,6 0,6 0,1 Pig. 6 0,6 0,9 1,0 Selected membership functions of several classes for the feature 5 (mean boiling temperature) 10 20 30 ¥0 50 Operation Pig. 4 0,7 60 time 70 60 [days] Optimal control for the naphta mixture class 1 Copyright © IF AC Adaptive Control of Chemical Processes, Frankfurt am Main, 1985 AN APPROACH FOR ADAPTIVE-PREDICTIVE CONTROL P. D. Pavlechko*, M. C. Wellons** and T. F. Edgar* *Chemical Engineering Department, University of Texas, Austin, Texas, USA **Chemical Engineering Department, Purdue University, West Lafayette, Indiana, USA Abstract.
The example reactor studied in this paper is operating around a steady state which is highly sensitive to upstream disturbances. The necessary specifications for MIMOSC include selection of the structure of the discrete time model, selection of measurements, control inputs, and a statement of the control objective. These specifications are inferred from basic chemical engineering knowledge of the process and from open loop responses. The parameters of the selected model structure are estimated on line and used to calculate the control gains.