Model predictive controller

Boots – shoes – and leggings

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

364151, 364153, G05B 1304

Patent

active

057400334

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
patent: 4358822 (1982-11-01), Sanchez
patent: 4368510 (1983-01-01), Anderson
patent: 4374703 (1983-02-01), Lebeau
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), Impiak, Jr. et al.
patent: 5038269 (1991-08-01), Grimble et al.
patent: 5043151 (1991-08-01), Bristol et al.
patent: 5060132 (1991-10-01), Beller et al.
patent: 5191521 (1993-03-01), Brosilow
patent: 5268835 (1993-12-01), Miyagaki et al.
Bequette, B. Wayne--Process Control Using Nonlinear Programming Techniques, Analysis and Optimization of Systems, Lecture Notes in Control and Information Sciences, Bensoussan, A., Lions, J.L. (Eds), Springer-Verlag; 1990a; 144: 57-66.
Bequette, B. Wayne--Nonlinear Control Of Chemical Processes--A Review. Ind. and Eng. Chem. Res.; 1990.
Brengel, David D.; Seider, Warren D.--Coordinated Design And Control Optimation 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. (Department Of Chemical Engineering, Texas Tech University). Nonlinear Model-Based Control Of A Batch Polymerization Reactor; Mar. 1992.
Gattu, Gangadhar; Zafiriou, Evanghelos (University of Marylcnd). Nonlinear QDMC With State Estimation--Formation And Application To An "Industrial Challenge" Semi-Batch Process. 1991 Amer. Control Conf.; Boston, MA; 1991.
Gelormino, M.S.,; Ricker, N.L. (Department of Chemical Engineering, University of Washington). Model-Predictive Control Of Large-Scale Systems. Annual Meeting of the Canadian Society of Chemical Engineers, Vancouver, B.C.; Oct. 7, 1991.
Li, Wei Chong; Biegler, Lorenz T.; Process Control Strategies For Constrained Nonlinear Systems. Ind. Eng. Chem. Res.; 1988; 37(8):1421-1433.
Ohshima, Masahiro; Ohno, Hiromu; Hashimoto, Iori; Sasajima, M.; Maejima, M.; Tsuto, K.; Ogawa, T.; (Department of Chemical Engineering, Kyoto University, Kyoto). Model Predictive Control With Adapative Disturbance Prediction And Its Application To Fatty Acid Distillation Columns Control. AlChE Annual Meeting in L.A.--Symposium on Recent Advances in Process Control--I; Nov. 18, 1991; Paper No. 144e.
Ramamurthi, Yoga; Bequette, B. Wayne (Rensselaer Polytechnic Inst.). Data Reconcilation Of Systems With Unmeasured Variables Using Nonlinear Programming Techniques. 1990 AlChE Spring National Meeting; Mar. 18-22, 1990; Orlando, FL.
Rinehart, R.R.; Riggs, J.B. Process Control Through Nonlinear Modeling Engineering!; Aug., 1992; pp. 39-41.
Sistu, Phani B.; Bequette, B. Wayne (Rensselaer Polytechnic Inst.). Nonlinear Predictive Control Of Uncertain Chemical Processes. 1990 AlChE Annual Meeting; Nov. 11-16, 1990; Chicago, IL; paper 238a.
Sistu, Phani B.; Bequette, B. Wayne (Rensselaer Polytechnic Inst.). Process Identification Using Nonlinear Programming Techniques. Proceedings of the 1990 American Control Conference; May 23-25, 1990; San Diego, CA: 1534-1539.
Zagiriou, E. Robust Model Predictive Control Of Processes With Hard Constraints. Computers & Chemical Engineering; 1990; 14 (4/5): 359-371.
Patwardham, Ashutosh A.; Rawlings, James B.; Edgar, Thomas F.; Department of Chemical Engineering, University Of Texas at Austin; Nonlinear Model Preductive Control, 1990, 87:123.
SimuSolv, Modeling and Simulation Software; Newsletter, vol. 1, Issue 1; Fall 1989.
SimuSolv, Modeling and Simulation Software; Technical Software For Scientists And Engineers, The Dow Chemical Company.
Introduction To SimuSolv, Three-Day Workshop at The Dow Chemical Company, Midland Location, Dec. 3-6, 1989.
Reference Guide--vol. 1, SimuSolv Modeling and Simulation Software, Steiner, Edwin C.; Rey, Timothy D.; McCroskey, Patrick S.; Mar., Sep. 1990.
McCroskey et al; Integration of Model Development and Advanced Process Control, Code-91, Oct. 1991.

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-641840

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