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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Official URL: http://dx.doi.org/10.1109/TII.2008.2007802
Link to published version:: 10.1109/TII.2008.2007802

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: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory
Identification Number: 10.1109/TII.2008.2007802
Depositing User: Helen Garner
Date Deposited: 04 Apr 2014 12:43
Last Modified: 04 Apr 2014 12:44
URI: http://shura.shu.ac.uk/id/eprint/7915

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