A Two Phase MPC and its Application to a Grinding Process

Alexey Zakharov, Alexandre Boriouchkine, Sirkka-Liisa Jämsä-Jounela

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)
139 Downloads (Pure)

Abstract

The growing complexity of the control systems and the increased use of nonlinear models cause a dramatic increase in the computational requirements of MPCs. Therefore, more computationally efficient MPC are needed. This paper presents a two-phase MPC approach for decreasing computational demand without sacrificing its efficiency. The first phase of the MPC treats the input variables as independent decision variables of the objective optimization, since the largest part of the objective value arises from a few earliest sampling intervals. In contrast, the second phase combines input variables, defining the rest of the MPC objective value, in an open-loop control which is specified by a few independent decision variables. The method is compared against the traditional Quadratic Programming implementation of an MPC for the Grinding Plant control problem. The two-phase MPC demonstrates a better performance compared with the traditional controller with the same control horizon.
Original languageEnglish
Title of host publicationConference of Control and Fault-Tolerant Systems (SysTol’10), Nice, France, 6-8 Oct 2010
PublisherIEEE
Pages534-539
ISBN (Print)9781424481545
DOIs
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication

Publication series

NameConference on Control and Fault-Tolerant Systems
ISSN (Print)2162-1209

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