基于变分模态分解的控制回路过程变量线性振荡诊断

Gilang Raka Rayuda Dewa, Awang N. I. Wardana, S. Hawibowo
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引用次数: 2

摘要

控制器整定下降和外部谐波干扰是工业自动化控制系统中存在的大问题。表示问题的指标之一是过程变量中存在线性振荡。过程变量线性振荡的诊断成为提高控制回路性能的重要步骤。另一方面,工业正在向工业4.0时代延伸。工业的发展对包括线性振荡诊断在内的各个方面都产生了重大影响。线性振荡的诊断,最初只是为了找出线性振荡的存在,改变了工业4.0范式的诊断方法。提出了一种基于变分模态分解的控制回路过程变量线性振荡诊断方法。所提出的方法将在一组行业数据上实施,以提供验证。结果表明,该方法可以将过程变量的多重线性振荡诊断为3个不同的问题,即控制器整定下降、谐波外部干扰和非线性振荡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear Oscillation Diagnosis of Process Variable in Control Loop Based on Variational Mode Decomposition
Controller tuning fall and harmonic external disturbances are big problems in industrial automation and control systems. One of the indicators that represents the problems is the presence of linear oscillations in the process variables. Diagnosis of linear oscillations in the process variables becomes an important step before increasing performance of control loops. On the other hand, the industry is being stretched towards Industry 4.0 era. The evolution of industry has had a significant impact on various aspects including the diagnosis of linear oscillations. Diagnosis of linear oscillations which were originally intended only to find out the presence of linear oscillations changed to a diagnosis method with the Industry 4.0 paradigms. This paper presents a diagnosis method for linear oscillation of process variable in a control loop based on variational mode decomposition. The proposed method will be implemented on a set of industry data to provide validation. The results prove that the proposed method can diagnose the multiple linear oscillation of process variable into 3 (three) different problems, i.e. controller tuning fall, harmonic external disturbances and nonlinear oscillation.
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