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Robust Fault Identification of Turbofan Engines Sensors Based on Fractional-Order Integral Sliding Mode Observer

  • Xiaocong He and Lingfei Xiao EMAIL logo
Published/Copyright: January 23, 2019
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Abstract

This paper presents a robust fault identification scheme based on fractional-order integral sliding mode observer (FOISMO) for turbofan engine sensors with uncertainties. The equilibrium manifold expansion (EME) model is introduced due to its simplicity and accuracy for nonlinear system. A fractional-order integral sliding mode observer is designed to reconstruct faults on sensors, in which the fractional-order integral sliding surface guarantees the fast convergence of reconstruction. The observer parameters is selected according to L2 gain theory in order to minimize the effect of uncertainties on the fault reconstruction signal. Simulations in Matlab/Simulink show high reconstruction accuracy of the proposed method despite the present of uncertainties.

PACS: 2010; 89.20.Kk

Funding statement: This work is supported by the Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China (No. ICT 1800374).

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Received: 2018-12-19
Accepted: 2019-01-10
Published Online: 2019-01-23
Published in Print: 2022-03-28

© 2019 Walter de Gruyter GmbH, Berlin/Boston

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