Fuzzy Helicopter Rotor Speed Estimation based on Sound
This 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.
Citation : Passow, 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.
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes