On-line detection method for industrial control loop multi-period oscillation

Abstract

The invention discloses an on-line detection method for industrial control loop multi-period oscillation. The method includes the following steps that in a control loop to be detected, a set of progress data are collected in real time in an on-line mode; improved intrinsic time-scale decomposition is performed on the progress data in real time in an on-line mode, and monitoring statistics corresponding to all obtained decomposition sub-signals are calculated in real time; whether all the monitoring statistics exceed a set threshold value omega or not is judged, and an on-line detection result is obtained according to all judgment results. By the utilization of the on-line detection method, multi-period oscillation behaviors of the industrial control loop can be detected in a quantified mode to obtain regularity degrees and periods of all oscillation components in the multi-period oscillation. Rich data supports are provided for evaluating the oscillation behaviors and diagnosing a fault source.

Description

technical field [0001] The invention relates to the field of performance evaluation in industrial control systems, in particular to an online detection method for multi-period oscillation of an industrial control loop. Background technique [0002] Modern industrial process equipment has the characteristics of large scale, high complexity, many variables, and operates under closed-loop control. For complex chemical production processes, there are often thousands of loops, and these loops affect each other due to coupling. The oscillation phenomenon of the control loop greatly affects the economic benefit and stability of the operation of industrial process equipment due to the ubiquity of controller over-tuning, external disturbance and non-linear working characteristics of the control valve. [0003] Preliminary and accurate oscillation detection of industrial process equipment can reduce downtime, increase the safety of industrial process equipment operation, and reduce ma...

AI Technical Summary

Problems solved by technology

The detection method based on time-domain statistics and autocorrelation function domain analysis has three limitations in practical application: first, this method requires a certain prior understanding of the detection process and the determination of empirical parameters; The oscillation period cannot be fully automatic and non-intervention detection, and a targeted pre-designed filter is required for data stabilization and oscillation separation. Third, most detection algorithms cannot quantitatively calculate the degree of oscillation regularity

However, the length of the window greatly restricts the evaluation accuracy of multi-period oscillations. Too short a window cannot detect slower oscillation frequencies, and too long a window sacrifices the timeliness of detection.

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