Patent ID: 7187989
Filing Date: 2007-03-06
Classification: G05B

Abstract:
1. A method of characterizing a dynamic process model relating a controlled variable process value to an independent variable process value, hereon simply referred to as a process model, for use in a model predictive controller of a process having a plurality of independently controllable manipulated variables and measured disturbance variables and at least one controlled variable dependent upon said independently controllable manipulated variables comprising: a) first sub process models relating said controlled variable process value to each of said independently controllable manipulated variable process value and each of said measured disturbance variables process value, hereon called Controlled Variable Core Process Models, b) second sub process models relating each of said manipulated variables process value to said manipulated variable set point of said process model, hereon called Manipulated Variable Closed Loop Process Models, and c) sum of convolution of respective first sub process models with respective second sub process models and a first model mismatch error equating to said process model, expressed mathematically as, process model=Σfirst sub process model*second sub process model+Error