This paper introduces the implementation of a few algorithms based on fuzzy logic to improve the performance of a "Fly-by-wire" (FBW) "Digital Flight Control System" (DCFS). These algorithms have been tested on a flight simulator type "FNPT II". This simulator was entirely developed at the Laboratory of Aerospace Engineering of the University of Bologna (Forlì site). The algorithms should be simple (reliable) and quick in order to avoid response delay. They should also bring a true advantage in the FBW system. The proposed solutions are on the active filtering of the inputs an adaptive tolerance implementation for the identification of faulty sensors and their deactivation. The field in which this study has demonstrated greater effectiveness is in SW filtering of input signals, where a simple and effective algorithm was implemented. Finally, extremely simple hardware techniques to reduce input noise are also described.

Noise reduction and control in DCFS FBW with hardware and digital fuzzy filters / Piancastelli, L; Bernabeo, R.A.. - In: JOURNAL OF ENGINEERING AND APPLIED SCIENCES. - ISSN 1819-6608. - ELETTRONICO. - 10:8(2015), pp. 3418-3424.

Noise reduction and control in DCFS FBW with hardware and digital fuzzy filters

PIANCASTELLI, LUCA;BERNABEO, RAIMONDO ALBERTO
2015

Abstract

This paper introduces the implementation of a few algorithms based on fuzzy logic to improve the performance of a "Fly-by-wire" (FBW) "Digital Flight Control System" (DCFS). These algorithms have been tested on a flight simulator type "FNPT II". This simulator was entirely developed at the Laboratory of Aerospace Engineering of the University of Bologna (Forlì site). The algorithms should be simple (reliable) and quick in order to avoid response delay. They should also bring a true advantage in the FBW system. The proposed solutions are on the active filtering of the inputs an adaptive tolerance implementation for the identification of faulty sensors and their deactivation. The field in which this study has demonstrated greater effectiveness is in SW filtering of input signals, where a simple and effective algorithm was implemented. Finally, extremely simple hardware techniques to reduce input noise are also described.
2015
Noise reduction and control in DCFS FBW with hardware and digital fuzzy filters / Piancastelli, L; Bernabeo, R.A.. - In: JOURNAL OF ENGINEERING AND APPLIED SCIENCES. - ISSN 1819-6608. - ELETTRONICO. - 10:8(2015), pp. 3418-3424.
Piancastelli, L; Bernabeo, R.A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/555479
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