ANFIS-Based Fault Diagnosis Tool for a Typical Small Aircraft Fuel System

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 479)

Abstract

In the present paper, an Adaptive Neuro-Fuzzy Inference System (ANFIS) based intelligent diagnosis tool for investigating the health of a typical small aircraft fuel system simulation was proposed. The system was designed for identifying the faults present in the aircraft fuel system and to diagnose those conditions with a proper fuel flow to the engine. The ANFIS intelligent tool works based on the logical rules of an expert system, which are developed as per the engine’s fuel consumption and the fuel flow from the tanks. The inputs to train the ANFIS are the fuel flow at the previous instant and the engine’s fuel consumption and the corresponding target is the fuel tank’s control signals. Training of ANFIS, generates the control signals as per the fuel requirement of the engine and the fuel flow to the tanks. The proposed intelligent controller model was implemented in the platform of MATLAB/Simulink and a comparison with the other techniques allowed the effectiveness of the proposed model.

Keywords

Aircraft fuel system Fuel flow Fault diagnosis ANFIS Fuel tank 

Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  1. 1.Department of Electronics and Instrumentation EngineeringBasaveshwar Engineering CollegeBagalkotIndia
  2. 2.IVHM, Structural Technologies Division (STTD)CSIR-National Aerospace LaboratoriesBangaloreIndia

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