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Fuzzy logic controller for the altit...

Bhadange, Swapnil.

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Fuzzy logic controller for the altitude control of an unmanned aircraft vehicle using MATLAB and SIMULINK.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy logic controller for the altitude control of an unmanned aircraft vehicle using MATLAB and SIMULINK./
Author:	Bhadange, Swapnil.
Description:	54 p.
Notes:	Source: Masters Abstracts International, Volume: 45-01, page: 0446.
Contained By:	Masters Abstracts International45-01.
Subject:	Engineering, Mechanical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1437226
ISBN:	9780542828447

Fuzzy logic controller for the altitude control of an unmanned aircraft vehicle using MATLAB and SIMULINK.
Bhadange, Swapnil.

Fuzzy logic controller for the altitude control of an unmanned aircraft vehicle using MATLAB and SIMULINK. - 54 p.

Source: Masters Abstracts International, Volume: 45-01, page: 0446.

Thesis (M.S.)--Texas A&M University - Kingsville, 2006.

The purpose of this work was to find using artificial intelligence techniques of Fuzzy Logic, a controller for controlling the Altitude of the Unmanned Aircraft Vehicle(UAV). The result of the work is that such a controller could be successfully devised. In an attempt to create such a system, a fuzzy logic controller was devised to control the altitude of the Unmanned Aircraft Vehicle. Unmanned Dynamics provides software solutions for real-time control. Their particular area of expertise is the design of software systems for Unmanned Air Vehicles (UAV). This includes development of aircraft dynamic models, autopilot design, sensor fusion and simulation. We have used this data and equations to build the UAV model in MATLAB. We then used Fuzzy Logic Controller and applied it to this model in MATLAB. We have then simulated the whole system in SIMULINK. The procedure for building the controllers has just been outlined and the Fuzzy Scheme has been explained in detail. The results and graphs obtained after simulating the system have also been discussed. The control surface that has been generated also exhibits smooth transitions.

ISBN: 9780542828447Subjects--Topical Terms:

783786
Engineering, Mechanical.

Fuzzy logic controller for the altitude control of an unmanned aircraft vehicle using MATLAB and SIMULINK.
LDR:02243nmm 2200289 4500 001 1830346
005 20070413143147.5
008 130610s2006 eng d
020 $a 9780542828447
035 $a (UnM)AAI1437226
035 $a AAI1437226
040 $a UnM $c UnM
100 1 $a Bhadange, Swapnil. $3 1919181
245 1 0 $a Fuzzy logic controller for the altitude control of an unmanned aircraft vehicle using MATLAB and SIMULINK.
300 $a 54 p.
500 $a Source: Masters Abstracts International, Volume: 45-01, page: 0446.
500 $a Adviser: Robert A. McLauchlan.
502 $a Thesis (M.S.)--Texas A&M University - Kingsville, 2006.
520 $a The purpose of this work was to find using artificial intelligence techniques of Fuzzy Logic, a controller for controlling the Altitude of the Unmanned Aircraft Vehicle(UAV). The result of the work is that such a controller could be successfully devised. In an attempt to create such a system, a fuzzy logic controller was devised to control the altitude of the Unmanned Aircraft Vehicle. Unmanned Dynamics provides software solutions for real-time control. Their particular area of expertise is the design of software systems for Unmanned Air Vehicles (UAV). This includes development of aircraft dynamic models, autopilot design, sensor fusion and simulation. We have used this data and equations to build the UAV model in MATLAB. We then used Fuzzy Logic Controller and applied it to this model in MATLAB. We have then simulated the whole system in SIMULINK. The procedure for building the controllers has just been outlined and the Fuzzy Scheme has been explained in detail. The results and graphs obtained after simulating the system have also been discussed. The control surface that has been generated also exhibits smooth transitions.
520 $a The altitude control of the Unmanned Aircraft Vehicle using Fuzzy logic has not yet been studied. The future work and recommendations have also been discussed in the end.
590 $a School code: 1187.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0548
690 $a 0771
710 2 0 $a Texas A&M University - Kingsville. $3 1022707
773 0 $t Masters Abstracts International $g 45-01.
790 1 0 $a McLauchlan, Robert A., $e advisor
790 $a 1187
791 $a M.S.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1437226