Modulating Function Based Fault Detection for Parabolic Systems with Polynomial Faults

被引：8

作者：

Fischer, F. ^{[1
]}

Deutscher, J. ^{[1
]}

机构：

[1] Univ Erlangen Nurnberg, Lehrstuhl Regelungstech, Cauerstr 7, D-91058 Erlangen, Germany

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 24期

关键词：

Distributed-parameter systems; fault detection; modulating function; set-point change; trajectory planning; DISTRIBUTED-PARAMETER SYSTEMS;

D O I：

10.1016/j.ifacol.2018.09.602

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an algebraic approach to the fault detection for parabolic systems. It is assumed that the unknown time-varying faults are of polynomial type. In addition to the fault, the system is subject to a disturbance that can be separated into a polynomial deterministic part and a remaining bounded part. While the deterministic part is isolated from the fault, the bounded part is taken into account by introducing a threshold. For this setup, the modulating function approach is utilized to determine a directly implementable algebraic equation for the fault detection, which depends only on measurements. The results of the paper are illustrated for a faulty diffusion-reaction system. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：359 / 366

页数：8

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