Dual particle filters for state and parameter estimation with application to a run-of-mine ore mill

被引：50
|
作者：
Olivier, L. E. [1 ]
Huang, B. [2 ]
Craig, I. K. [1 ]
机构：
[1] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0002 Pretoria, South Africa
[2] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB, Canada
来源：
JOURNAL OF PROCESS CONTROL | 2012年 / 22卷 / 04期
关键词：
Dual estimation; Milling; Particle filter; State/parameter estimation; Run-of-mine ore; MODEL-PREDICTIVE CONTROL;
D O I：
10.1016/j.jprocont.2012.02.009
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Measurements are not readily available for grinding mills owing to the nature of the milling operation. State and parameter estimation for a grinding mill which forms part of a run-of-mine ore milling circuit has been implemented. These estimates may then be used in an advanced control algorithm. The estimation was done with dual particle filters as well as with a simultaneous estimation scheme, on simulated data, to compare the performances. The sensitivity analyses for the different schemes show the class of systems in which dual estimation may produce superior results. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：710 / 717
页数：8
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