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Ar drones
1.
Controlling AR.Drone Using
Fuzzy Logic Controller Presented By: Bushra Malla Hammoud Bassem Al-Mahow Supervised By: Dr. Maisaa Abo Kassem
2.
Questions! What is Fuzzy Logic?!
3.
Questions! What is Fuzzy Logic?! Why
Fuzzy Logic?
4.
Questions! What is Fuzzy Logic?! Why
Fuzzy Logic? What is Fuzzy Controller?
5.
6.
Fuzzy
7.
Input Output If then&
8.
9.
Trajectory Tracking of
AR.Drone Quadrotor Using Fuzzy Logic Controller Quadcopter See and Avoid Using a Fuzzy Controller FuzzyLogic Unmanned Air Vehicle Motion Planning
10.
AR.Drone
11.
AR.Drone Characteristic Structure What can do? Characteristics Characteristics Structure
12.
Characteristic Structure What can do? Characteristics What
can AR.drone do?
13.
Trajectory Tracking of AR.Drone Electrical
Engineering Department University of Surabaya December 2014
14.
Block diagram of
FLC controlled system
15.
Block diagram of
FLC controlled system
16.
17.
Distance and angle
calculation
18.
R 02 m input
19.
input Alpha -6060 d
20.
output Pitch -0.0750.075
d
21.
output Yaw -0.40.4
d
22.
23.
We have 2*25 Rule
24.
The testing procedure
25.
The result on
a straight reference trajectory
26.
The result on
a straight reference trajectory with A turn
27.
The result on
a square’s trajectory
28.
The result on
a G trajectory
29.
Demo
30.
See and Avoid
Using a Fuzzy Controller Queensland University of Technology, Australia 2012
31.
Visual System using
The Camshift algorithm- rithm
32.
Fuzzy Control System input
Yaw-controller output
33.
Angle -0.60.6 d input
34.
Difference -0.30.3 dinput
35.
Yaw -12001200 d/soutput
36.
The testing procedure
37.
Demo
38.
Fuzzy Logic Unmanned Air
Vehicle Motion Planning Department of Aerospace Engineering, University of Cincinnati
39.
Calculations
40.
Calculations
41.
Distance 060m input
42.
Angle -1.61.6d input
43.
Distance 030m input
44.
Angle -3.23.2d input
45.
Velocity 01m/soutput
46.
Angle -1.61.6doutput
47.
We have 40
rules
48.
We have 40
rules
49.
We have 40
rules
50.
Results
51.
Demo
52.
Let’s … More Demos See
53.
<thank you>
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