Use of core process models in model predictive controller

Details Use of core process models in model predictive controller Use of core process models in model predictive controller

2007-03-06

2007-03-06

Pham, Thomas (Department: 2121)

Data processing: generic control systems or specific application

Generic control system, apparatus or process

Optimization or adaptive control

Reexamination Certificate

active

11017328

ABSTRACT:
A method is presented for updating process models (100) used in a model predictive controller when a change has been made in any regulatory controller configuration and/or it's tuning without having to conduct new full identification testing of the process. The method employs Core Process Models of Controlled Variables (101) and Manipulated Variables (103), devoid of dynamics of interacting regulatory controllers in conjunction with Manipulated Variables Disturbance Rejection Models (104). The process models (100) can be updated for use for on-line control as well as for off-line simulation studies including operator training. This allows updating of a complex multivariable process control with relatively ease with absolute minimal of additional data gathering.

REFERENCES:
patent: 5347446 (1994-09-01), Iino et al.
patent: 5351184 (1994-09-01), Lu et al.
patent: 5541833 (1996-07-01), Bristol et al.
patent: 6056781 (2000-05-01), Wassick et al.
patent: 6373033 (2002-04-01), de Waard et al.
patent: 6735483 (2004-05-01), Martin et al.
patent: 6823675 (2004-11-01), Brunell et al.
patent: 6925338 (2005-08-01), Eryurek et al.
patent: 6988017 (2006-01-01), Pasadyn et al.

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