Sliding mode observer and its applications

Jianxing Liu; Yabin Gao; Yunfei Yin; Jiahui Wang; Wensheng Luo; Guanghui Sun

doi:10.1007/978-3-030-30655-7_3

Sliding mode observer and its applications

Jianxing Liu^*
, Yabin Gao
, Yunfei Yin
, Jiahui Wang
, Wensheng Luo
, Guanghui Sun

^*Corresponding author for this work

School of Astronautics, Harbin Institute of Technology
Harbin Engineering University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

SMOs have found wide application in the areas of fault detection, fault reconstruction and health monitoring in recent years. Their well-known advantages are robustness and insensitivity to external disturbance. Higher-order SMOs have better performance as compared to classical sliding mode based observers because their output is continuous and does not require filtering. However, insofar as we are aware, their application in FDI has remained unstudied. In this chapter, we shall develop the theoretical background of SMOs and SMO-based FDI. A bibliographical study of existing approaches in these fields will be followed by a brief presentation of some established first order and second order SMO algorithms.

Original language	English
Title of host publication	Studies in Systems, Decision and Control
Publisher	Springer International Publishing
Pages	27-62
Number of pages	36
DOIs	https://doi.org/10.1007/978-3-030-30655-7_3
State	Published - 2020
Externally published	Yes

Publication series

Name	Studies in Systems, Decision and Control
Volume	249
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

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10.1007/978-3-030-30655-7_3

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AU - Gao, Yabin

AU - Yin, Yunfei

AU - Wang, Jiahui

AU - Luo, Wensheng

AU - Sun, Guanghui

PY - 2020

Y1 - 2020

N2 - SMOs have found wide application in the areas of fault detection, fault reconstruction and health monitoring in recent years. Their well-known advantages are robustness and insensitivity to external disturbance. Higher-order SMOs have better performance as compared to classical sliding mode based observers because their output is continuous and does not require filtering. However, insofar as we are aware, their application in FDI has remained unstudied. In this chapter, we shall develop the theoretical background of SMOs and SMO-based FDI. A bibliographical study of existing approaches in these fields will be followed by a brief presentation of some established first order and second order SMO algorithms.

AB - SMOs have found wide application in the areas of fault detection, fault reconstruction and health monitoring in recent years. Their well-known advantages are robustness and insensitivity to external disturbance. Higher-order SMOs have better performance as compared to classical sliding mode based observers because their output is continuous and does not require filtering. However, insofar as we are aware, their application in FDI has remained unstudied. In this chapter, we shall develop the theoretical background of SMOs and SMO-based FDI. A bibliographical study of existing approaches in these fields will be followed by a brief presentation of some established first order and second order SMO algorithms.

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ER -

Sliding mode observer and its applications

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