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混合选别浓密过程双速率智能切换控制

王琳岩 李健 贾瑶 柴天佑

自动化学报2018,Vol.44Issue(2):330-343,14.
自动化学报2018,Vol.44Issue(2):330-343,14.DOI:10.16383/j.aas.2018.c160590

混合选别浓密过程双速率智能切换控制

Dual-rate Intelligent Switching Control for Mixed Separation Thickening Process

王琳岩 1李健 1贾瑶 1柴天佑1

作者信息

  • 1. 流程工业综合自动化国家重点实验室 沈阳110819
  • 折叠

摘要

Abstract

The mixed separation thickening process (MSTP) of hematite beneficiation is a strong nonlinear cascade process with the frequency of underflow slurry pump as the input,the slurry flow-rate as the inner loop output and the concentration as the outer loop output.During its operation,some large and frequent random disturbances generated from the flotation middling and sewage will continuously cause dynamic changes of slurry concentration and slurry flow-rate,which will cause failure of controller integration.The influence between the outer and inner loops will deteriorate the dynamic performance of the controlled system and even cause resonance.To deal with the problem,lifting technique to introduce the dynamic characteristics of the inner closed-loop control system into the outer dynamic model of slurry concentration.We put forward a double-rate intelligent switching control algorithm for MSTP combined with one-step optimal PI control,unmodeled dynamics compensation control and fuzzy switching control.An MSTP dynamic model is established using the master model with mechanism and compensation model with neural network.Simulation experiment on the hardware-in-the-loop simulation system of MSTP proves the effectiveness of our method.

关键词

混合选别浓密过程/双速率切换控制/未建模动态补偿/一步最优PI控制

Key words

Mixed separation thickening process (MSTP)/dual-rate switching control/unmodeled dynamics compensation/one-step optimal PI control

引用本文复制引用

王琳岩,李健,贾瑶,柴天佑..混合选别浓密过程双速率智能切换控制[J].自动化学报,2018,44(2):330-343,14.

基金项目

国家高技术研究发展计划(863计划)(SQ2015AA0400561),国家自然科学基金(61603393),中国博士后科学基金(2015M581355)资助 Supported by National High Technology Research and Development Program of China (863 Program) (SQ2015AA0400561),National Natural Science Foundation of China (61603393),and China Postdoctoral Science Foundation (2015M581355) (863计划)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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