Design of H_/H∞ fault detection observer for closed-loop nonlinear system with disturbance

Author:

Chen Zhengquan,Han Lu,Hou Yandong

Abstract

Purpose This paper proposes a novel method of fault detection, which is based on H_/H∞ Runge–Kutta observer and an adaptive threshold for a class of closed-loop non-linear systems. The purpose of this paper is to improve the rapidity and accuracy of fault detection. Design/methodology/approach First, the authors design the H_/H∞ Runge–Kutta fault detection observer, which is used as a residual generator to decouple the residual from the input. The H_ performance index metric in the specified frequency domain is used to describe how sensitive the residual to the fault. The H∞ norm is used to describe the residual robustness to the external disturbance of the systems. The residual generator is designed to achieve the best tradeoff between robustness against unknown disturbances but sensitivity to faults, thus realizing the accurate detection of the fault by suppressing the influence of noise and disturbance on the residual. Next, the design of the H_/H∞ fault detection observer is transformed into a convex optimization problem and solved by linear matrix inequality. Then, a new adaptive threshold is designed to improve the accuracy of fault detection. Findings The effectiveness and correctness of the method are tested in simulation experiments. Originality/value This paper presents a novel approach to improve the accuracy and rapidity of fault detection for closed-loop non-linear system with disturbances and noise.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Control and Systems Engineering

Reference26 articles.

1. Design of H∞ robust fault detection filter for nonlinear time-delay systems;Journal of Zhejiang University-Science A,2006

2. Fuzzy resilient energy-to-peak filtering for continuous-time nonlinear systems;IEEE Transactions on Fuzzy Systems,2017

3. Quantized fuzzy output feedback H∞ control for nonlinear systems with adjustment of dynamic parameters;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018

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