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

Gao, Zhiwei, Dai, Xuewu, Breikin, Tim 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). pp. 271-279. ISSN 1551-3203

Full text not available from this repository. (Request a copy)

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
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	EPrint Services
Date Deposited:	15 Sep 2011 11:44
Last Modified:	12 Oct 2019 19:06
URI:	http://nrl.northumbria.ac.uk/id/eprint/2507

Downloads