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dc.contributor.authorPassow, Benjamin N.en
dc.contributor.authorGongora, Mario Augustoen
dc.date.accessioned2013-11-06T15:27:05Z
dc.date.available2013-11-06T15:27:05Z
dc.date.issued2009
dc.identifier.citationPassow, B. N. and Gongora, M. A. (2009) Fuzzy Helicopter Rotor Speed Estimation based on Sound. Proceedings of the 9th Annual Workshop on Computational Intelligence (UKCI'09)', pp. 49-54, Nottingham, UK, 7-9 September 2009.en
dc.identifier.urihttp://hdl.handle.net/2086/9314
dc.description.abstractThis work focuses on the use of a supervising computer to extract detailed information from an autonomous helicopter’s intrinsic sound signature. This can be used at a later stage to enhance the helicopter’s control without the need to add additional sensors. We propose a system to extract the overall rotor speed from the sound of the helicopter. A fuzzy temporal filter based system is trained on flight data using an Adaptive Network- Based Fuzzy Inference System and tested in three test flights. Test flights confirm the system to be working, capable of closely following the measured rotational speed from a sensor on-board the helicopter.en
dc.publisherProceedings of the 9th Annual Workshop on Computational Intelligence (UKCI'09)en
dc.subjectAutonomous Helicopteren
dc.subjectFuzzy Inferencingen
dc.subjectAcoustic Sensingen
dc.subjectRotor Speeden
dc.subjectEstimationen
dc.titleFuzzy Helicopter Rotor Speed Estimation based on Sounden
dc.typeConferenceen
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderIOCTen
dc.projectidFlyperen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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