OBSERVER and NEURAL NETWORK BASED FAULT TOLERANT CONTROL APPLICATION on AIRCRAFT LONGITUDINAL FLIGHT CONTROL

Authors

  • Işıl Yazar Eskisehir Osmangazi University

Keywords:

Fault Tolerant Control, Fault Detection, Fault Isolation, Automatic Flight Control, Observer, Neural Network

Abstract

Automatic flight control system has a manipulation impact on aircraft. From this point of view, considering flight reliability and continuity; detection, isolation and reconfiguration of potential sensor or actuator faults in this system have a vital importance either during flight or ground operations. Fault tolerant control architecture provides continuity of the system against some potential faults. It is possible to see from literature studies that various applications of fault tolerant control are commonly used in different systems. In this work, simulations are conducted on MATLAB/Simulink for sensor fault detection, isolation and reconfiguration of an aircrafts’ longitudinal movement by means of observer and neural network methods and successful results are obtained from the simulations.

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Published

13-09-2017

How to Cite

[1]
I. Yazar, “OBSERVER and NEURAL NETWORK BASED FAULT TOLERANT CONTROL APPLICATION on AIRCRAFT LONGITUDINAL FLIGHT CONTROL”, JAST, vol. 10, no. 2, pp. 61–70, Sep. 2017.

Issue

Vol. 10 No. 2 (2017)

Section

Articles

License

The manuscript with title and authors is being submitted for publication in Journal of Aeronautics and Space Technologies. This article or a major portion of it was not published, not accepted and not submitted for publication elsewhere. If accepted for publication, I hereby grant the unlimited and all copyright privileges to Journal of Aeronautics and Space Technologies.

I declare that I am the responsible writer on behalf of all authors.