Expert system based adaptive dynamic matrix control for ball mill grinding circuit

被引：30

作者：

Chen, Xi-Song ^{[1
]}

Li, Shi-Hua ^{[1
]}

Zhai, Jun-Yong ^{[1
]}

Li, Qi ^{[1
]}

机构：

[1] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu Prov, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 01期

关键词：

Expert system; Adaptive dynamic matrix control; Multiple models; Ore hardness; Grinding circuit;

D O I：

10.1016/j.eswa.2007.10.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Ball mill grinding circuit is a multiple-input multiple-output (MIMO) system characterized with couplings and nonlinearities. Stable control of grinding circuit is usually interrupted by great disturbances, such as ore hardness and feed particle size, etc. Conventional model predictive control usually cannot capture the nonlinearities caused by the disturbances in real practice. Multiple models based adaptive dynamic matrix control (ADMC) is proposed for the control of ball mill grinding circuit. The novelty of the strategy lies in that intelligent expert system is developed to identify the current ore hardness and then select a proper model for ADMC. Compared with the various nonlinear DMC strategies, the approach can synthesize and analyze as many variables and status as possible to adequately and reliably identify the process conditions, and it does not introduce additional computational complexity, which makes it readily available to the industrial practitioner. Simulation results and industrial applications demonstrate the effectiveness and practicality of this control strategy. (C) 2007 Elsevier Ltd. All rights reserved.

引用

页码：716 / 723

页数：8

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