Ewers, Bernd and Bordeneuve-Guibé, Joël and Langlois, Corinne A symbolic sensor for an Antilock brake system of a commercial aircraft. (1997) In: IEEE Mediterranean Conference on Control and Systems, 21-23 July 1997, Paphos, Cyprus .
(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Official URL: http://med.ee.nd.edu/MED5-1997/PAPERS/040/040.PDF
The design of a symbolic sensor that identifies thecondition of the runway surface (dry, wet, icy, etc.) during the braking of a commercial aircraft is discussed. The purpose of such a sensor is to generate a qualitative, real-time information about the runway surface to be integrated into a future aircraft Antilock Braking System (ABS). It can be expected that this information can significantly improve the performance of ABS. For the design of the symbolic sensor different classification techniques based upon fuzzy set theory and neural networks are proposed. To develop and to verify theses classification algorithms data recorded from recent braking tests have been used. The results show that the symbolic sensor is able to correctly identify the surface condition. Overall, the application example considered in this paper demonstrates that symbolic information processing using fuzzy logic and neural networks has the potential to provide new functions in control system design. This paper is part of a common research project between E.N.S.I.C.A. and Aerospatiale in France to study the role of the fuzzy set theory for potential applications in future aircraft control systems.
|Item Type:||Conference or Workshop Item (Paper)|
|Audience (conference):||International conference proceedings|
|Institution:||Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE|
Département de Mathématiques, Informatique, Automatique - DMIA (Toulouse, France) - Automatique, Dynamique et Interface des Systèmes - ADIS
|Deposited By:||joel bordeneuve-guibe|
Repository Staff Only: item control page