High-gain observer-based parameter identification with application in a gas turbine engine

Zhiwei Gao; Xuewu Dai; Tim Breikin; Hong Wang

doi:10.3182/20080706-5-KR-1001.2995

High-gain observer-based parameter identification with application in a gas turbine engine

Zhiwei Gao, Xuewu Dai, Tim Breikin, Hong Wang

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

6 Citations (Scopus)

Abstract

In this paper, a novel identification technique, that is high-gain observer-based identification approach, is proposed for systems with bounded process and measurement noises. For system parameters with abnormal changes, an adaptive change detection and parameter identification algorithm is next presented. The presented technique and algorithm is finally applied to the parameter identification of the gas turbine engine by using the recorded input data from the engine test-bed. The identified parameters and the response curves are desired. The simulations have proved the effectiveness of the proposed procedure compared with the previous identification approach.

Original language	English
Title of host publication	Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition	1 PART 1
DOIs	https://doi.org/10.3182/20080706-5-KR-1001.2995
Publication status	Published - 2008
Event	17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of Duration: 6 Jul 2008 → 11 Jul 2008

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Number	1 PART 1
Volume	17
ISSN (Print)	1474-6670

Conference

Conference	17th World Congress, International Federation of Automatic Control, IFAC
Country/Territory	Korea, Republic of
City	Seoul
Period	6/07/08 → 11/07/08

Keywords

Bounded error identification
Continuous time system estimation
Filtering and smoothing

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10.3182/20080706-5-KR-1001.2995

Cite this

Gao, Z., Dai, X., Breikin, T., & Wang, H. (2008). High-gain observer-based parameter identification with application in a gas turbine engine. In Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC (1 PART 1 ed.). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 17, No. 1 PART 1). https://doi.org/10.3182/20080706-5-KR-1001.2995

@inproceedings{45b6679debf94244bad622fa4a6300ed,

title = "High-gain observer-based parameter identification with application in a gas turbine engine",

abstract = "In this paper, a novel identification technique, that is high-gain observer-based identification approach, is proposed for systems with bounded process and measurement noises. For system parameters with abnormal changes, an adaptive change detection and parameter identification algorithm is next presented. The presented technique and algorithm is finally applied to the parameter identification of the gas turbine engine by using the recorded input data from the engine test-bed. The identified parameters and the response curves are desired. The simulations have proved the effectiveness of the proposed procedure compared with the previous identification approach.",

keywords = "Bounded error identification, Continuous time system estimation, Filtering and smoothing",

author = "Zhiwei Gao and Xuewu Dai and Tim Breikin and Hong Wang",

note = "Funding Information: ★ This work is supported by the EPSRC grant EP/C015185/1 and the NSFC grant 60574026. Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; 17th World Congress, International Federation of Automatic Control, IFAC ; Conference date: 06-07-2008 Through 11-07-2008",

year = "2008",

doi = "10.3182/20080706-5-KR-1001.2995",

language = "English",

isbn = "9783902661005",

series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

number = "1 PART 1",

booktitle = "Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC",

edition = "1 PART 1",

}

Gao, Z , Dai, X, Breikin, T & Wang, H 2008, High-gain observer-based parameter identification with application in a gas turbine engine. in Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC. 1 PART 1 edn, IFAC Proceedings Volumes (IFAC-PapersOnline), no. 1 PART 1, vol. 17, 17th World Congress, International Federation of Automatic Control, IFAC, Seoul, Korea, Republic of, 6/07/08. https://doi.org/10.3182/20080706-5-KR-1001.2995

High-gain observer-based parameter identification with application in a gas turbine engine. / Gao, Zhiwei ; Dai, Xuewu; Breikin, Tim et al.
Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC. 1 PART 1. ed. 2008. (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 17, No. 1 PART 1).

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

TY - GEN

T1 - High-gain observer-based parameter identification with application in a gas turbine engine

AU - Gao, Zhiwei

AU - Dai, Xuewu

AU - Breikin, Tim

AU - Wang, Hong

PY - 2008

Y1 - 2008

N2 - In this paper, a novel identification technique, that is high-gain observer-based identification approach, is proposed for systems with bounded process and measurement noises. For system parameters with abnormal changes, an adaptive change detection and parameter identification algorithm is next presented. The presented technique and algorithm is finally applied to the parameter identification of the gas turbine engine by using the recorded input data from the engine test-bed. The identified parameters and the response curves are desired. The simulations have proved the effectiveness of the proposed procedure compared with the previous identification approach.

AB - In this paper, a novel identification technique, that is high-gain observer-based identification approach, is proposed for systems with bounded process and measurement noises. For system parameters with abnormal changes, an adaptive change detection and parameter identification algorithm is next presented. The presented technique and algorithm is finally applied to the parameter identification of the gas turbine engine by using the recorded input data from the engine test-bed. The identified parameters and the response curves are desired. The simulations have proved the effectiveness of the proposed procedure compared with the previous identification approach.

KW - Bounded error identification

KW - Continuous time system estimation

KW - Filtering and smoothing

UR - https://www.scopus.com/pages/publications/79961018112

U2 - 10.3182/20080706-5-KR-1001.2995

DO - 10.3182/20080706-5-KR-1001.2995

M3 - Conference contribution

AN - SCOPUS:79961018112

SN - 9783902661005

T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)

BT - Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC

T2 - 17th World Congress, International Federation of Automatic Control, IFAC

Y2 - 6 July 2008 through 11 July 2008

ER -

High-gain observer-based parameter identification with application in a gas turbine engine

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Keywords

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