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基于数据驱动的PID自整定算法研究

高菲

微型电脑应用2017,Vol.33Issue(10):58-62,5.
微型电脑应用2017,Vol.33Issue(10):58-62,5.

基于数据驱动的PID自整定算法研究

Research on Data-driven PID Self-tuning Algorithm

高菲1

作者信息

  • 1. 宝鸡职业技术学院,721000
  • 折叠

摘要

Abstract

The traditional PID setting technology is based on given test signals,and can not make good use of these historical data.In this paper,based on the introduction and analysis of the classical PID setting technology,the historical data are used to complete a data-driven identification method research.The PID self-tuning algorithm is studied with the sensitivity as the performance index.And data is collected through the OPC interface to complete the data-driven PID self-tuning software implementation.

关键词

数据驱动/PID自整定/系统辨识/灵敏度/OPC/自整定软件

Key words

Data-driven/PID self-tuning/System identification/Sensitivity/OPC/Self-toning software

分类

矿业与冶金

引用本文复制引用

高菲..基于数据驱动的PID自整定算法研究[J].微型电脑应用,2017,33(10):58-62,5.

微型电脑应用

OACSTPCD

1007-757X

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