Research Article
Design and Implementation of Fuzzy Controller for Estimating the Attitude of Unmanned Aerial Vehicles
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@INPROCEEDINGS{10.1007/978-3-642-32573-1_43, author={S. Roopashree and K. Deepika and Shubha Bhat}, title={Design and Implementation of Fuzzy Controller for Estimating the Attitude of Unmanned Aerial Vehicles}, proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers}, proceedings_a={SPIT \& IPC}, year={2012}, month={10}, keywords={Unmanned Aerial Vehicle (UAV) Soft Computing Techniques Fuzzy Logic (FL) Fuzzy Inference System (FIS)}, doi={10.1007/978-3-642-32573-1_43} }- S. Roopashree
K. Deepika
Shubha Bhat
Year: 2012
Design and Implementation of Fuzzy Controller for Estimating the Attitude of Unmanned Aerial Vehicles
SPIT & IPC
Springer
DOI: 10.1007/978-3-642-32573-1_43
Abstract
This paper describes the design of Compact, accurate and inexpensive Fuzzy Logic Controllers and Fuzzy Inference Systems which estimates the attitude of Unmanned Aerial Vehicles(UAV).Attitude refers to parameters of Unmanned Aerial Vehicle such as latitude, longitude and altitude and angles of rotation known as pitch and roll. A Soft Computing technique called Fuzzy Logic is used to design the Fuzzy Logic Controllers and Fuzzy Inference Systems. Visual simulation tool and Aerosim (Aeronautical Simulation Set) Flight gear interface are used for Simulation purpose.
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