Design of fuzzy inference system for estimating the flight control dynamics

Author

Deepika, K.M. ; Roopashree, S. ; Bhat, Shubha

Author_Institution

Dept. of Comput. Sci. & Eng., Dayananda Sagar Coll. of Eng., Bangalore, India

fYear

2011

fDate

7-9 Sept. 2011

Firstpage

7

Lastpage

13

Abstract

This paper describes the design of Fuzzy Inference System to control the flight dynamic parameters of Unmanned Aerial Vehicle such as attitude [latitude, longitude and altitude], angles of rotation known as pitch and roll. A Soft Computing technique called Fuzzy Logic is used to design the Fuzzy Inference System. Visual simulation tool and Aerosim (Aeronautical Simulation Set) Flight gear interface are used for Simulation purpose.

Keywords

aerospace simulation; aircraft; attitude control; control engineering computing; fuzzy control; fuzzy reasoning; mobile robots; remotely operated vehicles; aeronautical simulation set; aerosim flight gear interface; attitude control; flight control dynamics; fuzzy inference system; fuzzy logic; soft computing technique; unmanned aerial vehicle; visual simulation tool; Aerodynamics; Aircraft; Aircraft navigation; Atmospheric modeling; Fuzzy logic; Mathematical model; Unmanned aerial vehicles; Fuzzy Inference System (FIS); Fuzzy Logic (FL); Soft Computing Techniques; Unmanned Aerial Vehicle (UAV);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Agent and Multi-Agent Systems (IAMA), 2011 2nd International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4577-0876-3

Type

conf

DOI

10.1109/IAMA.2011.6048995

Filename

6048995