深锥浓密机下流浆浓度的数据驱动控制

2017 6th Data Driven Control and Learning Systems (DDCLS) Pub Date : 2017-05-01 DOI:10.1109/DDCLS.2017.8068156

Ji-Ning Xu, Zhan-Bin Zhao, Feng-Qiang Wang

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引用次数: 3

摘要

深锥浓密机控制问题是尾矿膏体充填的关键问题。提出了一种基于增稠过程数据挖掘的增稠机固有参数和实用参数提取方法，并确定控制策略。该方法克服了深锥浓密机建模的困难，能够获得实用的控制规则，对不同浓密机结构和充填材料具有良好的适应性。

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Data driven control of underflow slurry concentration in deep cone thickener

Deep cone thickener control problem is a key point of Tailings paste fill (TSF). This paper presents a new method to extract inherent and practical parameters of the thickener, and determine control strategy based on thickening process data mining. Bypassing difficulty in deep cone thickener modeling, the proposed method could obtain practical control rules, also has good adaptability to different thickener structures and backfilling materials.

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2017 6th Data Driven Control and Learning Systems (DDCLS)

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