Secondary chemical reactor actuator fault detection method based on function observer

Abstract

The invention discloses a secondary chemical reactor executing mechanism fault detection method based on a function observer. The method comprises the following steps of: firstly, constructing a mathematical model of a system according to the principle of a secondary chemical reactor, and converting the mathematical model into a state equation in a standard form; according to a state equation of the secondary chemical reactor, giving a general form when the secondary chemical reactor has external disturbance and an execution mechanism has a fault; designing a function observer, and giving an error dynamic variance, and a decision logic for judging whether the system breaks down or not; giving a sufficient condition for asymptotic stability of an error dynamic system, and obtaining a fault detection observer parameter according to the sufficient condition; and performing secondary chemical reactor actuator fault detection by using a fault detection observer according to the decision logic. The fault detection method designed in the invention has robustness to unknown input and relatively high sensitivity to faults, does not need to calculate a threshold value, reduces online calculation time, and can complete fault detection of the execution mechanism of the secondary chemical reactor system.

Description

technical field [0001] The invention relates to the technical field of fault detection, in particular to a fault detection method for a secondary chemical reactor actuator based on a function observer. Background technique [0002] In recent years, with the improvement of the reliability and safety requirements of the chemical production process, fault detection technology has received extensive attention from scholars and has achieved unprecedented development. In the existing literature, some use the robust principal component analysis (PCA) method to realize the fault detection of the continuous stirred reactor (CSTR), and some use the nonlinear dynamic global local retention projection method for the ethylene distillation process For fault detection, some use the algorithm based on sparse filtering and logic return (SFLR) to realize fault detection in the process of cyclohexane non-catalytic oxidation to cyclohexanone, and some use near-infrared light spectrum analysis t...

AI Technical Summary

Problems solved by technology

Although fault detection in chemical production processes has been extensively studied and observer-based fault detection methods have been widely used, the use of functional observers for fault detection in secondary reactors has not been studied.

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