A distributed fault detection and isolation method for multifunctional spoiler system

Document Type

Conference Proceeding

Publication Date

7-2-2018

Publication Title

Midwest Symposium on Circuits and Systems

Volume

2018-August

First Page

380

Last Page

383

Abstract

The increasing complexity of aircraft subsystems and control structure invoke new fault diagnosis methodologies for these vehicles. Multifunctional spoiler (MFS) is an essential part of an aircraft spoiler control system that can be easily deteriorated due to faults which could consequently compromise the safety of the aircraft. The MFS consists of several components with highly nonlinear dynamics. This paper presents a new fault detection and isolation (FDI) system using dynamic neural networks (DNN) to deal with incipient faults at their early stages. For this purpose, an intelligent distributed FDI framework consisting of three DNNs is employed for generating residual set in the system to observe any discrepancy in the states of the system. Furthermore, the dynamic structure of the designed neural networks helps the observers tackle the non-linearity of the system and provides the fault isolation in the whole operating range. Simulation results are conducted to demonstrate the ability and effectiveness of the proposed FDI system.

DOI

10.1109/MWSCAS.2018.8624044

ISSN

15483746

ISBN

9781538673928

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