Model predictive controller

Data processing: structural design – modeling – simulation – and em – Simulating nonelectrical device or system – Chemical

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

703 2, 703 6, 700 28, 700 29, 700 30, 700 31, 700 38, G06G 748, G06G 758

Patent

active

060567813

ABSTRACT:
A model predictive controller for a process control system which includes a real-time executive sequencer and an interactive modeler. The interactive modeler includes both a process model and an independent disturbance model. The process model represents the dynamic behavior of the physical process, while the disturbance model represents current and future deviations from the process model. The interactive modeler estimates current process states from the process model and input data received from the executive sequencer. The executive sequencer then projects a set of future process parameter values, which are sought to be controlled, over a predetermined control horizon. The interactive modeler then solves a set of equations as to how the physical process will react to control changes in order to determine an optimized set of control changes. As a result, the process control system will be able to accurately track a predetermined set-point profile in the most effective and cost efficient manner.

REFERENCES:
patent: 4349869 (1982-09-01), Prett et al.
patent: 4358822 (1982-11-01), Sanchez
patent: 4368510 (1983-01-01), Anderson
patent: 4374703 (1983-02-01), Lebeau et al.
patent: 4663703 (1987-05-01), Axelby et al.
patent: 4791548 (1988-12-01), Yoshikawa et al.
patent: 4882526 (1989-11-01), Iino et al.
patent: 5000924 (1991-03-01), Cygnarowicz et al.
patent: 5024801 (1991-06-01), Impink, Jr. et al.
patent: 5038269 (1991-08-01), Grimble et al.
patent: 5043151 (1991-08-01), Staffel et al.
patent: 5060132 (1991-10-01), Beller et al.
patent: 5191521 (1993-03-01), Brosilow
patent: 5268835 (1993-12-01), Miyagaki et al.
patent: 5347446 (1994-09-01), Iino et al.
patent: 5402333 (1995-03-01), Cardner
Gibbs et al., "Application of Nonlinear Model-based Predictive Control to Fossil Power Plants", Proceedings of the 30th IEEE Conference on Decision and Control, vol. 2, pp. 1850-1856, Dec. 1991.
Nakamori et al., "Model Predictive Control of Nonlinear Processes by Multi-model Approach", Proceedings of the 1991 International Conference on Industrial Electronics, vol. 3, pp. 1902-1907, Nov. 1991.
Patwardhan et al., "Nonlinear Model Predictive Control of Chemical Reactors", IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems, pp. 53-60, Aug. 1991.
Murray-Smith et al., "Neural Networks for Modeling and Control of a Non-linear Dynamic System", Proceedings of the 1992 IEEE International Symposium on INtelligent Control, pp. 404-409. Aug. 1992.
Psichogios et al., "Nonlinear Internal Model Control and Model Predictive Control Using Neural Network", 5th IEEE International Symposium on Intelligent Control, 1990, pp. 1082-1087, Sep. 1990.
Bequette, B.W. (Rensselaer Polytechnic Institute), Nonlinear Control of Chemical Processes--A Review, Submitted to Industrial and Engineering Chemistry Research, Aug. 5, 1990.
Bequette, B.W. (Rensselaer Polytechnic Institute), Process Control Using Nonlinear Programming Techniques, Reprint from: A. Bensoussan and J.L. Lions (Eds.), Analysis and Optimization of Systems, Proceedings of the 9.sup.th International Conference, Antibes, Jun. 12-15, 1990, Lecture Notes in Control and Information Sciences, 144, 57-66, Springer-Verlag (1990).
Brengel, D.D.; Seider, W.D. (University of Pennsylvania), Coordinated Design and Control Optimization of Nonlinear Processes, Submitted to Comput. Chem. Eng.; Dec. 1990.
Chiou, H.W.; Zafiriou E. (University of Maryland), User's Guide for QDMC Version 1.0, A Set of Fortran Programs for Constrained Quadratic Dynamic Matrix Control Simulation and Stability/Performance Study, Technical Research Report, SRC-TR-90-29.
Choi, J. Y.; Rhinehart, R. R.; Riggs, J.B. (Texas Tech University), Nonlinear Model-Based Control of a Batch Polymerization Reactor, Technical Report 1, Mar. 1992, Submitted to The Dow Chemical Company in partial fulfillment of a Cooperative Research Agreement.
Gattu, G.; Zafiriou, E. (University of Maryland), Nonlinear QDMC With State Estimation--Formulation and Application to an "Industrial Challenge" Semi Batch Process, 1991 Amer. Control Conf., Boston, MA.
Gelormino, M.S.; Ricker, N.L. (University of Washington), Model-Predictive Control of Large-Scale Systems, Presented at the Annual Meeting of the Canadian Society of Chemical Engineers, Vancouver, B.C.; Oct. 7, 1991.
Li, W.C.; Biegler, L.T. (Carnegie-Mellon University), Process Control Strategies for Constrained Nonlinear Systems, Ind. Eng. Chem. Res., 1988, 27, 1421-1433.
McCroskey, P.S.; Wassick, J.M. (The Dow Chemical Company), Integration of Model Development and Advanced Process Control, Cope-91, Oct. 1991.
Ohshima, M. (Kyoto University); Ohno, H. (Kobe University); Hashimoto, I. (Kyoto University); Sasajima, M.; Maejima, M.; Tsuto, K.; Ogawa, T. (Kao Corporation), Model Predictive Control with Adapative Disturbance Prediction and its Application to Fatty Acid Distillation Columns Control, Paper 144e, Symposium Recent Advances in Process Control--I, AIChE Annual Meeting, L.A., Nov. 18 (1991).
Patwardhan, A.A.; Rawlings, J.B.; Edgar, T.F. (The Universtiy of Texas at Austin), Nonlinear Model Predictive Control, Submitted to Chemical Engineering Communications, Sep. 1988, Revised Jun. 1989.
Ramamurthi, Y.; Bequette, B.W. (Rensselaer Polytechnic Institute), Data Reconcilation of Systems with Unmeasured Variable Using Nonlinear Programming Techniques, Prepared for presentation at the 1990 AIChE Spring National Meeting, Orlando, FL (Mar. 18-22, 1990).
Rinehart, R.R.; Riggs, J.B. (Texas Tech University), Process Control Through Nonlinear Modeling, Control, Jul. 1990, pp. 86-90.
Richalet, J., Observations on Model-Based Predictive Control, Control Engineering, Aug. 1992, pp. 39-41.
SimuSolv, Modeling and Simulation Software Newsletter, vol. 1, Issue 1, Fall 1989.
SimuSolv, Modeling and Simulation Software, Technical Software for Scientists and Engineers.
Sistu, P.B.; Bequette, B.W. (Rensselaer Polytechnic Institute), Nonlinear Predictive Control of Uncertain Chemical Processes, Prepared for presentation at the 1990 AIChE Annual Meeting, Chicago, IL (Nov. 11-16, 1990), Nonlinear Control Session, paper 238a.
Sistu, P.B.; Bequette, B.W. (Rensselaer Polytechnic Institute), Process Identification using Nonlinear Programming Techniques, Proceedings of the 1990 American Control Conference, pp. 1534-1539, San Diego, CA (May 23-25, 1990).
Steiner, E.C. (Mo'alem, Incorporated), Introduction to SimuSolv, Three-Day Workshop at The Dow Chemical Company, Midland Location, Dec. 3-6, 1989.
Steiner, E.C.; Rey, T.D.; McCroskey, P.S., Reference Guide--vol. 1, SimuSolv Modeling and Simulation Software, Sep. 30, 1990.
Zafiriou, E. (University of Maryland), Robust Model Predictive Control of Processes with Hard Constraints, Computers Chem. Engng., vol. 14; No. 4, 5, pp. 359-371, 1990.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Model predictive controller does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Model predictive controller, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Model predictive controller will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1590921

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.