Disturbance attenuation in fault detection of gas turbine engines: a discrete robust observer design

Authors:
Xuewu Dai;Zhiwei Gao;Tim Breikin;Hong Wang
Affiliations:
School of Electronic and Information Engineering, Southwest University, China and Control Systems Centre, University of Manchester, Manchester, UK;School of Electric Engineering and Automation, Tianjin University, Tianjin, China;School of Electrical and Electronic Engineering, University of Manchester, Manchester, UK;School of Electrical and Electronic Engineering, University of Manchester, Manchester, UK
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Year:
2009

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Abstract

This study is motivated by the onboard fault detection of gas turbine engines (GTEs), where the computation resources are limited and the disturbance is assumed to be band-limited. A fast Fourier transformation (FFT)-based disturbance frequency estimation approach is proposed and performance indexes are improved by integrating such frequency information. Furthermore, in the left eigenvector assignment, both eigenvalues and free parameters are optimized. As illustrated in the application to the actuator fault detection of a GTE, significant improvements are achieved compared to the existing methods. By combining the frequency estimation and eigenvalue optimization, the main contribution of the paper is the reduction of the computation complexity and the avoidance of the local optimal solution due to fixed eigenvalues.