Efficient implementation of model predictive control for sheet and film forming processes

Christopher V. Rao, John C. Campbell, James B. Rawlings, Stephen J. Wright

Research output: Contribution to journalConference articlepeer-review

Abstract

Sheet and film forming processes may consist of more than 100 actuators and 400 lane measurements. Applying model predictive control to these processes can yield quadratic programs with as many as 1000 decision variables. The practicality of model predictive control is partially limited by the ability to solve these quadratic programs in real time. In this work we investigate some potential schemes to improve the efficiency of the solution of the quadratic program. In particular we are able to show that for a large class of linear sheet and film forming processes, we can expect reasonable computational costs by appropriately structuring the optimization.

Original languageEnglish (US)
Pages (from-to)2940-2944
Number of pages5
JournalProceedings of the American Control Conference
Volume5
StatePublished - Jan 1 1997
Externally publishedYes
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: Jun 4 1997Jun 6 1997

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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