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Parameter Estimation for Fault Diagnosis in Nonlinear Systems by ANFIS

Abstract : This paper presents a fault diagnosis approach to detect and estimate components faults in satellite's attitude control systems (ACSs). The proposed solution provides a framework to detect, isolate, and estimate various faults in system components, using Adaptive Fuzzy Inference Systems Parameter Estimators (ANFISPEs) that are designed and based on parameterizations related to each class of fault. Each ANFISPE estimates the corresponding unknown Fault Parameter (FP) that is further used for fault detection, isolation and identification purposes. Simulation results reveal the effectiveness of the developed FDI scheme of an ACSs actuators of a 3-axis stabilized satellite even in presence of disturbances.
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https://hal-normandie-univ.archives-ouvertes.fr/hal-01966515
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Submitted on : Friday, December 28, 2018 - 2:01:08 PM
Last modification on : Wednesday, April 27, 2022 - 3:55:44 AM

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B. Bellali, A. Hazzab, I.K. Bousserhane, D. Lefebvre. Parameter Estimation for Fault Diagnosis in Nonlinear Systems by ANFIS. Procedia Engineering, Elsevier, 2012, International Workshop on Information and Electronics Engineering (IWIEE) / International Conference on Information, Computing and Telecommunications (ICICT) Mar 2012 Harbin, 29, pp.2016-2021. ⟨10.1016/j.proeng.2012.01.254⟩. ⟨hal-01966515⟩

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