Rapid fault reconstruction using a bank of sliding mode observers

被引：1

作者：

Shakarami, Mehran ^{[1
]}

Esfandiari, Kasra ^{[2
]}

机构：

[1] Univ Groningen, Engn & Technol Inst Groningen, NL-9747 AG Groningen, Netherlands

[2] Yale Univ, Ctr Syst Sci, New Haven, CT 06511 USA

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2022年 / 359卷 / 18期

关键词：

Fault reconstruction; Sliding mode observers; Multiple models; Adaptive systems; Stability analysis; NONLINEAR-SYSTEMS; LINEAR-SYSTEMS; SENSOR;

D O I：

10.1016/j.jfranklin.2022.09.012

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 deals with the design of a model-based rapid fault detection and isolation strategy using sliding mode observers. To address this problem, a new scheme is proposed by adaptively combining the information provided by a bank of observers. In this regard, a new structure for sliding mode observers is considered. Then, the well-known recursive least square algorithm is utilized to merge individual state estimations suitably such that the system fault is detected faster. The required condition for enhancing perfect state estimation is derived, and the stability of the overall system is proven via Lyapunov's direct method. The supremacy of proposed scheme is fully discussed through mathematical analyses as well as simulations. (c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：11229 / 11255

页数：27

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