Method and apparatus for modeling dynamic and steady-state processes for prediction, control and optimization

US6487459B1 · kind B1 · utility

Assignee

• Pavilion Technologies, Inc. · US

Inventors

• Gregory D. Martin · Georgetown, US
• Eugene Boe · Austin, US
• Stephen Piche · Austin, US
• James D. Keeler · Austin, US
• Douglas Timmer · Austin, US
• Mark Gerules · Cedar Park, US
• John P. Havener · Leander, US

Key dates

• Filing date: Feb 16, 1999
• Grant date: Nov 26, 2002
• Expiry date: Feb 16, 2019

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B13/048
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. The bi have a direct effect on the gain of a dynamic model (22). This is facilitated by a coefficient modification block (40). Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y. Additionally, the path that is traversed between steady-state value changes.