Automatic control system for unit operation

Data processing: generic control systems or specific application – Specific application – apparatus or process – Chemical process control or monitoring system

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700270, 203 2, 203DIG18, 202160, 204225, 205337, G05B 2100, B01D 342, C25D 1700

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active

060886307

ABSTRACT:
Automatic control systems, and corresponding processes, for controlling either an anode adjuster in a chlor/alkali cell or at least one average middle temperature of a distillation column wherein the combination of feedback control from at least one real unit operation variable and an embedded real-time dynamic simulation of that variable are used.

REFERENCES:
patent: 3830698 (1974-08-01), Kleiss
patent: 5244544 (1993-09-01), Lang et al.
patent: 5402333 (1995-03-01), Cardner
Chapter 19 Distillation, Continuous Process Control by P.G. Friedmann and T.P. Stoltenberg, Editors, Instrument Society of America, 1996, pp. 401-423.
Chapter 8.12 Distillation: Basic Controls, by H.L. Hoffman, D.E. Lupfer, L.A. Kane and B.A. Jensen; Process Control, Instrument Engineer's Handbook, Third Edition, Bela G. Liptak-Editor-In-Chief; Chilton Book Company, Radnor, Pennsylvania, pp. 1169-1198 (1995).
Chapter 8.13 Distillation: Advanced Controlsdistillation:Advanced Controls by H.L. Hoffman, D.E. Lupfer, L.A. Kane and B.A. Jensen;Process Control, Instrument Engineer's Handbook, Third Edition, Bela G. Liptak-Editor-In-Chief; Chilton Book Company, Radnor, Pennsylvania; pp. 1199-1232 (1995).
Chapter 8.14 Distillation: Relative Gain Calculations, by L.A. Kane and S. Ochiai; Process Control, Instrument Engineer's Handbook, Third Edition, Bela G. Liptak-Editor-In-Chief; Chilton Book Company, Radnor, Pennsylvania; pp. 1233-1245 (1995).
An Analysis of Steady-State Neural Networks Models for Distillation Control, by Himal P. Munsif and James Riggs; Department of Chemical Engineering, Texas Tech University (1996); pp. 1-28 with Figs. 1-10.
On Using Neural Networks Models for Distillation Control, by Himal P. Munsif and James B. Riggs; Department of Chemical Engineering, Texas Tech University (1996); p. 8, with Table 1 and Figs. 1-4.
Experimental Demonstration of Nonlinear Model-Based Control of a Nonideal Binary Distillation Column, by H.G. Pandit, R.R. Rhinehart and J.B. Riggs, Department of Chemical Engineering, Texas Tech. University, Lubbock, Texas; Proceeding of American Control Conference 1992; pp. 625-629.
Experimental Demonstration of Constrained Process Model-Based Control of a Non-Ideal Distillation Column, by H.G. Pandit and R.R. Rhinehart, Dept. of Chem. Engr. Texas Tech University, Lubbock, Texas; Proceedings of American Control Conference 1992; pp. 630-631.
Model-Based Control Streamlines Process, by James B. Riggs, Lubbock, Texas and Jackie Watts, Martin Beauford, Borger, Texas; Control Strategies, reprinted from Control, Jul. 1991; p. 5.
Experimental Comparison of Advanced Control Techniques on a Lab-Scale Distillation Column, by Amit Gupta and R. Russell Rhinehart, Department of Chemical Engineering, Texas Tech University, Lubbock, Texas; Presented at 1995 American Control Conference Meeting, pp. 1-15.
Neural Network Modeling for Distillation Control; by Soundar Ramchandran and R.R. Rhinehart, Department of Chemical Engineering, Texas Tech University, Lubbock, Texas; Presented as a poster paper at the Sigma Xi Research and Creativity Day Symposium (1993), p. 16.
Application of Neural Network Control to Distillation and an Experimental Comparison With Other Advanced Controllers; by P. Dutta and R. Russell Rhinehart, Department of Chemical Engineering, Texas Tech University, Lubbock, Texas; Draft for Journal of Process Control Feb., 1997; pages: cover page plus 1-71.
Tuning Sluggish Loops Using the ATV Procedure, by James B. Riggs, Department of Chemical Engineering, Texas Tech University, Lubbock, Texas; Division Newsletter, Automatic Control Systems, Spring, 1997; pp. 4-11;.
Experimental Comparison of Advanced Control Techniques on a Lab-Scale Distillation Column, by Amit Gupta and R. Russell Rhinehart, Dept. of Chem. Eng., Texas Tech University, Lubbock, Texas; Proceedings of the American Control Conference, Jun. 1996, pp. 3188-3191.
A Very Simple Structure for Neural Network Control of Distillation, by Sundar Ramchandran and R. Russell Rhinehart, Department of Chemical Engineering, Texas Tech University, Lubbock, Texas; J. Proc. Cont., 1995, vol. 5, No. 2, pp.: 115-128.
Nonlinear Process Model Based Control of a Propylene Sidestream Draw Column, by James B. Riggs, Department of Chemical Engineering, Texas Tech University, Lubbock, Texas; Reprinted from I& EC Research, 1990, 92; pp. 2221-2226.
A Comparison of Advanced Distillation Control Techniques For a Propylene/Propane Splitter, by Vikram Gokhale, Scott Hurowitz and James B. Riggs, Department of Chemical Engineering, Texas Tech University, Lubbock, Texas; Reprinted from I&EC Research, 1995, 54; pp.: 4413-4419.
Avoid Problems During Distillation Column Startups, by Andrew W. Sloley; Chemical Engineering Progress, Jul., 1996, pp.: 30-39.
Dynamic Simulation and Nonlinear-Model-Based Product Quality Control of a Crude Tower, by Change-Bock Chung, Dept. of Fine Chemical Engineering, Chonnam National University, Korea and James B. Riggs, Dept. of Chemical Engineering, Texas Tech University, Lubbock, Texas; AIChE Journal, Jan., 1995, vol. 41, No. 1, pp.: 122-134.

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