International Journal of Computational Intelligence Systems

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Volume 11, Issue 1, 2018, Pages 790 - 802

ABC and DE Algorithms based Fuzzy Modeling of Flight Data for Speed and Fuel Computation

Authors
Aytekin Bagis1*, bagis@erciyes.edu.tr, Mehmet Konar2, mkonar@erciyes.edu.tr
1*Department of Electrical and Electronics Engineering, Faculty of Engineering, Erciyes University, 38039, Kayseri, Turkey
2Department of Aircraft Electrical and Electronics, Faculty of Aeronautics and Astronautics, Erciyes University, 38039, Kayseri, Turkey
Received 13 April 2017, Accepted 25 January 2018, Available Online 9 February 2018.
DOI
10.2991/ijcis.11.1.60How to use a DOI?
Keywords
fuzzy modeling; fuzzy rule design; artificial bee colony algorithm; flight control system
Abstract

It is crucial to evaluate the information obtained from the sensors in a fast and accurate manner in air vehicles exposed to many internal and external influences during their flights. The effectiveness and flexibility of the reasoning method comes to the forefront when the pilot or flight control system makes the necessary decisions in critical situations. The method used should be able to provide the nearest response to the decision that the pilot has to give, even when working with complex, unclear or incomplete data. Thus, it is not the correct approach to think that sensorial measurements and methods that describe them through a model are separate from each other. In this study, a fuzzy rule based model is designed using some important measurement data belonging to a flight control system for simultaneously computation of speed and fuel parameters. The fuzzy model parameters are determined by using artificial bee colony (ABC) and differential evolution (DE) algorithms in the modeling process in which actual flight data of Boeing B-767-200ER type aircraft are used. To demonstrate the efficiency of the modeling approach and the algorithms, fuzzy model structures having 3 inputs-and-2 outputs for different rule numbers are tested. The inputs of the fuzzy models are considered as altitude, weight, and engine pressure ratio. On the other hand, parameters of the flight speed and fuel amount are used for outputs of the models. The results achieved from the models are comparatively presented with each other and actual values.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
790 - 802
Publication Date
2018/02/09
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.60How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Aytekin Bagis
AU  - Mehmet Konar
PY  - 2018
DA  - 2018/02/09
TI  - ABC and DE Algorithms based Fuzzy Modeling of Flight Data for Speed and Fuel Computation
JO  - International Journal of Computational Intelligence Systems
SP  - 790
EP  - 802
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.60
DO  - 10.2991/ijcis.11.1.60
ID  - Bagis2018
ER  -