Friday, 27 June Realizing a small UAV for medical transport in developing countries Master thesis: Ferdinand Peters. Dr.One
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1 Dr.One Friday, 27 June 2014 Realizing a small UAV for medical transport in developing countries Master thesis: Ferdinand Peters 1
2 Definition Drone (bee) From Wikipedia, the free encyclopedia Drones are male honey bees. They develop from eggs that have not been fertilized, and they cannot sting. In the 16th century it was given the figurative sense of 'idler' or 'lazy worker', as male bees make no honey, which is sometimes given as a folk etymology of the word 'drone' itself. Challenge the future 2
3 Google Search (present) Challenge the future 3
4 Google Search (future) Challenge the future 4
5 Dr.One Friday, 27 June 2014 Realizing a small UAV for medical transport in developing countries Master thesis: Ferdinand Peters 5
6 Outline presentation Problem definition Design Design Tool Body Wings Propulsion Example design Dynamics & Control Dynamic analysis Control design 6
7 Problem Definition Source: 7
8 Problem Definition 8
9 Possible applications Urgent medical supply Final link in the supply chain Unreachable locations Blood sample collection & Lab on a chip 9
10 Design Requirements Vertical take-off and landing (VTOL) Long range High flight speed Autonomous flight Mechanically simple Source: Low cost Unit Maintenance Manufacturing Mechanically simple Source: Locally produced and designed 10
11 Design Chosen configuration 4 motor Hybrid flying wing Electric powered Inexpensive materials Minimize moving parts 11
12 Design Flexible design Automatic sizing for different payloads Source: mytransfusion.com Source: aimlab.com Source: 12
13 Design Tool Main focus points Scalability Easy to use Modular approach Affordibility 13
14 Design Tool Sequence Body sizing Wing sizing Motor selection Propeller selection 14
15 Body sizing Side-plane 3D-Body Front-plane: Cosine 15
16 Wing Sizing Parameterization 16
17 Wing sizing Flight condition 17
18 Wing sizing Objective function 18
19 Propulsion sizing Motor performance characteristics Performance data can be acquired from the manufacturer Not always available A test to determine experimentally. Source:mikrokopter.de 19
20 Motor Selection Test comparison 20
21 Propeller Selection Propeller performance characteristics Windtunnel data Source: 21
22 Propeller Motor matching Static 22
23 Propeller Motor matching Dynamic 23
24 Example design GUI Are you ready to design your first Dr.One? 24
25 Production 3D-milling & hot wire cutter 25
26 Outline presentation Problem definition Design Design Tool Body Wings Propulsion Example design Dynamics & Control Dynamic analysis Control design Validation of dynamic model 26
27 Control Vertical mode 27
28 Control Horizontal mode 28
29 Control design Possible control loop PID Feedback controller Input: 4 rotational velocities Output: 12 states (3 translations, 3 rotations and their velocities) 29
30 Dynamic model Modified model by Skander Tamallaah (NLR) Rigid body dynamics 30
31 Dynamics Analysis Trim 31
32 Dynamics Analysis Linearized system 32
33 Control Design Pitch control 33
34 Control Design Yaw and roll control check 34
35 Validation of dynamic model Flight tests Accurate flight data High frequency (100 Hz) Log platform: IMU Barometer RPM sensors 35
36 Validation of the log platform Flight test 36
37 Back up slides 37
38 Body sizing Cosine vs Spline 38
39 Wing Sizing Airfoil MH-60 Tailless aircraft: Zero pitch airfoil 39
40 Wing Sizing Lift and drag forces 40
41 Wing sizing Lift and drag coefficients 41
42 Wing Sizing Minimum drag 42
43 Motor Selection Motor performance characteristics 43
44 Motor Selection Motor performance characteristics 44
45 Motor Selection Motor performance characteristics 45
46 Total Efficiency Curve(1) Consistent variables 46
47 Total Efficiency Curve(1) Consistent variables 47
48 Control Design Pitch control 48
49 Control Design Pitch control: Differential gain 49
50 Control Design Pitch control: PI controller gain scheduling 50
51 Control Design Pitch control: simulation 51
52 Control Design Pitch control: simulation PI 52
53 Control Design Pitch control: simulation PID 53
54 Validation of dynamic model Procedure Cross reference flight data output with model input 54
55 Validation of dynamic model Flight tests Accurate flight data: Attitude Velocities (translational and rotational) Accelerations (translational and rotational) High frequency (100 Hz) 55
56 A possible control loop Lisa/M 56
57 Dynamic model Modified model by Skander Tamallaah (NLR) State vector 57
58 Dynamic analysis Dutch roll 58
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