An Improved parameter-dependent approach to robust optimal fault estimation for helicopter model

Xiaofang Zha; Yang Yang; Francesco Crusca

doi:10.1109/CCDC.2008.4597951

An Improved parameter-dependent approach to robust optimal fault estimation for helicopter model

Xiaofang Zha^*, Yang Yang, Francesco Crusca

^*Corresponding author for this work

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

Abstract

This paper proposes a parameter-dependent approach to robust fault detection and estimation problem for linear time-invariant (LTI) systems. The unknown input, actuator faults, sensor faults and disturbances are considered in our design. Through Projection lemma, we provide a sufficient affine matrix inequality for the integrated system in order to achieve robust performance criterion. In stead of obtaining the optimal solution by quadratic approach, we have used a parameter-dependent lyapunov approach which aimed at eliminating the involved coupling between system matrices and the lyapunov matrices; hence the conservativeness due to quadratic approach can be dramatically reduced. We present a design example in which we apply our method to a helicopter model.

Original language	English
Title of host publication	2008 Chinese Control and Decision Conference (CCDC 2008)
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	3353-3357
Number of pages	5
ISBN (Print)	9781424417346
DOIs	https://doi.org/10.1109/CCDC.2008.4597951
Publication status	Published - 2008
Externally published	Yes
Event	Chinese Control and Decision Conference (20th : 2008) - Yantai, China Duration: 2 Jul 2008 → 4 Jul 2008

Conference

Conference	Chinese Control and Decision Conference (20th : 2008)
City	Yantai, China
Period	2/07/08 → 4/07/08

Keywords

robust control
fault detection filter
Linear Matrix Inequality (LMI)

Access to Document

10.1109/CCDC.2008.4597951

Link to publication in Scopus

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Cite this

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title = "An Improved parameter-dependent approach to robust optimal fault estimation for helicopter model",

abstract = "This paper proposes a parameter-dependent approach to robust fault detection and estimation problem for linear time-invariant (LTI) systems. The unknown input, actuator faults, sensor faults and disturbances are considered in our design. Through Projection lemma, we provide a sufficient affine matrix inequality for the integrated system in order to achieve robust performance criterion. In stead of obtaining the optimal solution by quadratic approach, we have used a parameter-dependent lyapunov approach which aimed at eliminating the involved coupling between system matrices and the lyapunov matrices; hence the conservativeness due to quadratic approach can be dramatically reduced. We present a design example in which we apply our method to a helicopter model.",

keywords = "robust control, fault detection filter, Linear Matrix Inequality (LMI)",

author = "Xiaofang Zha and Yang Yang and Francesco Crusca",

year = "2008",

doi = "10.1109/CCDC.2008.4597951",

language = "English",

isbn = "9781424417346",

pages = "3353--3357",

booktitle = "2008 Chinese Control and Decision Conference (CCDC 2008)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "Chinese Control and Decision Conference (20th : 2008) ; Conference date: 02-07-2008 Through 04-07-2008",

}

Zha, X, Yang, Y & Crusca, F 2008, An Improved parameter-dependent approach to robust optimal fault estimation for helicopter model. in 2008 Chinese Control and Decision Conference (CCDC 2008): proceedings., 4597951, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 3353-3357, Chinese Control and Decision Conference (20th : 2008), Yantai, China, 2/07/08. https://doi.org/10.1109/CCDC.2008.4597951

An Improved parameter-dependent approach to robust optimal fault estimation for helicopter model. / Zha, Xiaofang; Yang, Yang; Crusca, Francesco.

2008 Chinese Control and Decision Conference (CCDC 2008): proceedings. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2008. p. 3353-3357 4597951.

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

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AB - This paper proposes a parameter-dependent approach to robust fault detection and estimation problem for linear time-invariant (LTI) systems. The unknown input, actuator faults, sensor faults and disturbances are considered in our design. Through Projection lemma, we provide a sufficient affine matrix inequality for the integrated system in order to achieve robust performance criterion. In stead of obtaining the optimal solution by quadratic approach, we have used a parameter-dependent lyapunov approach which aimed at eliminating the involved coupling between system matrices and the lyapunov matrices; hence the conservativeness due to quadratic approach can be dramatically reduced. We present a design example in which we apply our method to a helicopter model.

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