Adaptive predictive model in a process control system

US6760716B1 · kind B1 · utility

Assignee

• FISHER-ROSEMOUNT SYSTEMS, INC. · US

Inventors

• Sai Suresh Ganesamoorthi · Austin, US
• Terrence L. Blevins · Round Rock, US
• Vasiliki Tzovla · Austin, US
• Wilhelm K. Wojsznis · Round Rock, US
• Ashish Mehta · Austin, US

Key dates

• Filing date: Jun 8, 2000
• Grant date: Jul 6, 2004
• Expiry date: Nov 3, 2021

Classification

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

Abstract

An adaptive predictive model includes a standard predictive model, such as a neural network or a natural model, constructed to produce an output that predicts a process parameter and a combiner network that combines the output of the predictive model with one or more measured values of the process parameter to produce an adjusted predicted process parameter during operation of a process. The adaptive predictive model reduces or corrects for non-linear as well as linear errors in the prediction of a process variable without having to reform the predictive model itself, while requiring only minor increases in processing power and time.