State Estimation for SAG Mills utilizing a simplified model with an alternative measurement

Patricio Varas, Rodrigo Carvajal, Juan C. Aguero

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

2 Scopus citations

Abstract

The semi-autogenous grinding (SAG) mill is one of the main devices utilized for grinding solid materials in mining activities. SAG mills exhibit a non-linear behaviour, whilst the variables of interest (states) are not readily available (not subject to measurements). Tipically, the estimation of SAG mill states is carried out utilizing the Extended Kalman Filter, albeit with system ouputs that are not available in practice. In this paper, we propose to estimate the states utilizing the Unscented Kalman filter with a simplified model of the mill. We also propose the utilization of a system output that is available in practice, but not tipically used. We illustrate the benefits of our proposal with numericall simulations.

Original languageEnglish
Title of host publicationIEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728131856
DOIs
StatePublished - Nov 2019
Externally publishedYes
Event2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019 - Valparaiso, Chile
Duration: 13 Nov 201927 Nov 2019

Publication series

NameIEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019

Conference

Conference2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019
Country/TerritoryChile
CityValparaiso
Period13/11/1927/11/19

Keywords

  • Extended Kalman Filter
  • SAG mill
  • Unscented Kalman Filter

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