Novel Parameter Identification by Using a High-Gain Observer With Application to a Gas Turbine Engine

GAO, Zhiwei, DAI, Xuewu, BREIKIN, Timofei and WANG, Hong (2008). Novel Parameter Identification by Using a High-Gain Observer With Application to a Gas Turbine Engine. IEEE Transactions on Industrial Informatics, 4 (4), 271-279.

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Abstract

In this study, 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 are 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 desirable. The simulations have proved the effectiveness of the proposed procedure compared with the previous identification approach.

Item Type:	Article
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Identification Number:	https://doi.org/10.1109/TII.2008.2007802
Page Range:	271-279
Depositing User:	Helen Garner
Date Deposited:	04 Apr 2014 12:43
Last Modified:	18 Mar 2021 23:45
URI:	https://shura.shu.ac.uk/id/eprint/7915

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