电子学报 ›› 2017, Vol. 45 ›› Issue (3): 565-569.DOI: 10.3969/j.issn.0372-2112.2017.03.009

• 学术论文 • 上一篇    下一篇

基于改进动态主元分析在半实物仿真系统中的研究

高强, 常勇   

  1. 天津理工大学自动化学院天津市复杂系统控制理论及应用重点实验室, 天津 300384
  • 收稿日期:2015-08-01 修回日期:2015-09-24 出版日期:2017-03-25
    • 作者简介:
    • 高强 男,1968年2月出生于天津,现任天津理工大学自动化学院副院长.主要研究方向:系统辨识与优化控制;非线性系统建模、分析与控制;故障诊断与容错控制;过程控制系统技术及先进控制;常勇 男,1992年1月出生于安徽临泉县,现为天津理工大学研究生,主要研究故障诊断,过程控制及先进系统.E-mail:chang133122332@sina.com
    • 基金资助:
    • 国家自然科学基金 (No.61403279); 天津市中青年骨干创新人才培养计划基金 (No.20130830)

The Research of Hardware-in-the-Loop Simulation System Based on the Improved Dynamic Principal Component Analysis

GAO Qiang, CHANG Yong   

  1. Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems, Tianjin University of Technology, Tianjin 300384, China
  • Received:2015-08-01 Revised:2015-09-24 Online:2017-03-25 Published:2017-03-25
    • Supported by:
    • National Natural Science Foundation of China (No.61403279); Young and Middle-aged Backbone Innovation Talents Training Project of Tianjin Municipality (No.20130830)

摘要:

为了实现数据驱动技术在工业中的实际应用,开发了以蒸馏塔作为被控对象的半实物仿真系统,将数据驱动方法应用到流程工业半实物仿真系统.针对动态主元分析方法存在的计算负荷大,计算效率低的问题,提出了一种改进动态主元分析方法,利用不可区分度和交叉程度去除众多变量中的不相关变量或相关度较小的变量,减少数据量.针对系统中的典型故障,数据驱动方法能够检测出半实物仿真系统中的异常,而且与传统动态主元分析比较,改进算法降低漏报率和误报率,提高诊断可靠性,并且能及时检测出生产过程的微小故障.

关键词: 数据驱动, 蒸馏塔, 半实物仿真, 动态主元分析, 不可区分度

Abstract:

In order to apply the data-driven technology in industry field,with the distillation column as one of the controlled objects,the hardware-in-the-loop simulation system is developed,and the data driven methods are applied to the process industry hardware-in-the-loop simulation system.Aiming at the huge computation and low efficiency of the dynamic principal component analysis method,an improved dynamic principal component analysis method is proposed,which remove the irrelevant variables or low relevant variables,reduce the amount of data,and improve the diagnostic efficiency by indiscernibility and the cross-degree.For the typical faults of the systems,the application result shows that the data-driven methods can detect the fault of hardware-in-the-loop simulation system,and compared with the traditional dynamic principal component,the simulation results show that the proposed method is more reliable with lower missing rate,and lower false rate,and in addition,it can detect the small process faults timely.

Key words: data driven, distillation column, hardware-in-the-loop simulation, dynamic principal component analysis (DPCA), indiscernibility

中图分类号: