Research on feature modeling method for complex industrial process and its application

被引：0
|
作者：
Qiao J.-F. [1 ,2 ]
Huang W.-M. [1 ,2 ]
Ding H.-X. [1 ,2 ]
Yu T. [1 ,2 ]
机构：
[1] Faculty of Information Technology, Beijing University of Technology, Beijing
[2] Beijing Laboratory of Smart Environmental Protection, Beijing
来源：
Kongzhi yu Juece/Control and Decision | 2023年 / 38卷 / 08期
关键词：
complex industrial process; controlled object model; feature modeling; full-scale model; index model; uncertain characteristic;
D O I：
10.13195/j.kzyjc.2023.0370
中图分类号：
学科分类号：
摘要：
Feature modeling for complex industrial processes is the basis for studying their optimal control. Complex industrial processes generally have uncertain characteristics such as strong interference, nonlinearity, and large time-varying. Some of the processes involve complex biochemical reactions with strong contamination and high risk, and the detection data is highly dimensional and noisy, which all put forward more urgent needs and higher standards for the establishment of accurate industrial models. This paper summarizes the current modeling ideas and research progress of complex industrial processes, and aims to analyze the applicability and effectiveness of different modeling methods from multiple perspectives, so as to lay the modeling foundation for the advanced optimal control theory to guide the actual industrial production. First, the main industrial modeling methods are divided and summarized from three aspects: mechanism modeling, data-driven modeling and hybrid modeling. Second, the specific design ideas of various modeling methods are described, and the model structure and algorithm characteristics are analyzed. Then, the specific applications of different modeling strategies in solving the problems of index modeling, controlled object modeling, and full-scale modeling in the actual industrial processes are investigated. Finally, combined with the current trend of industrial intelligent construction and its challenging problems, the future research ideas and development directions are pointed out. © 2023 Northeast University. All rights reserved.
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页码：2063 / 2078
页数：15
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