文章基本信息

标题：Performance Monitoring and Data Driven PID Parameter Tuning for Noisy Systems
本地全文：下载
作者：Yoshihiro Ohnishi ; Takuya Kinoshita ; Toru Yamamoto 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：29
页码：228-232
DOI：10.1016/j.ifacol.2019.12.654
语种：English
出版社：Elsevier
摘要：In industrial processes, it is necessary to maintain the user-specified control performance in order to achieve desired productivity. Many process control systems have the stochastic noise. For the noisy systems, the ordinary performance assessment method which based on the control error variance requires the long data windows, because the short data windows make the performance index oscillatory. The control performance deterioration can not be detected quickly by the long data windows. Moreover, the optimizations of FRIT for the steady state is difficult for the noisy systems, because of the high frequency component of the control error signal. In this paper, a performance monitoring method and a data driven PID parameter tuning method for the noisy systems are considered. Each approach effectively uses a low-pass filter. The effectiveness of the proposed schemes are verified by using a simulation example.
关键词：KeywordsPID controlcontrol errorsperformance indicessteady stateslowpass filterslow frequencies