基于数据驱动的PID自整定算法研究

Research on Data-driven PID Self-tuning Algorithm

传统的PID整定技术以给定试验信号为基础,不能很好的利用这些历史数据,通过在介绍和分析经典PID整定技术的基础之上,利用历史数据完成数据驱动辨识方法研究,以灵敏度为性能指标研究PID自整定算法,并通过OPC接口采集数据完成基于数据驱动的PID自整定软件实现。

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.