Friday, 27 June Realizing a small UAV for medical transport in developing countries Master thesis: Ferdinand Peters. Dr.One

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Dr.One Friday, 27 June 2014 Realizing a small UAV for medical transport in developing countries Master thesis: Ferdinand Peters 1

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

Google Search (present) Challenge the future 3

Google Search (future) Challenge the future 4

Dr.One Friday, 27 June 2014 Realizing a small UAV for medical transport in developing countries Master thesis: Ferdinand Peters 5

Outline presentation Problem definition Design Design Tool Body Wings Propulsion Example design Dynamics & Control Dynamic analysis Control design 6

Problem Definition Source: www.fayzwordz.wordpress.com 7

Problem Definition 8

Possible applications Urgent medical supply Final link in the supply chain Unreachable locations Blood sample collection & Lab on a chip 9

Design Requirements Vertical take-off and landing (VTOL) Long range High flight speed Autonomous flight Mechanically simple Source: www.mikrokopter.de Low cost Unit Maintenance Manufacturing Mechanically simple Source: www.unmannedgroup.com Locally produced and designed 10

Design Chosen configuration 4 motor Hybrid flying wing Electric powered Inexpensive materials Minimize moving parts 11

Design Flexible design Automatic sizing for different payloads Source: mytransfusion.com Source: aimlab.com Source: http://www.npsg.uwaterloo.ca/ 12

Design Tool Main focus points Scalability Easy to use Modular approach Affordibility 13

Design Tool Sequence Body sizing Wing sizing Motor selection Propeller selection 14

Body sizing Side-plane 3D-Body Front-plane: Cosine 15

Wing Sizing Parameterization 16

Wing sizing Flight condition 17

Wing sizing Objective function 18

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

Motor Selection Test comparison 20

Propeller Selection Propeller performance characteristics Windtunnel data Source: http://aerospace.illinois.edu/ 21

Propeller Motor matching Static 22

Propeller Motor matching Dynamic 23

Example design GUI Are you ready to design your first Dr.One? 24

Production 3D-milling & hot wire cutter 25

Outline presentation Problem definition Design Design Tool Body Wings Propulsion Example design Dynamics & Control Dynamic analysis Control design Validation of dynamic model 26

Control Vertical mode 27

Control Horizontal mode 28

Control design Possible control loop PID Feedback controller Input: 4 rotational velocities Output: 12 states (3 translations, 3 rotations and their velocities) 29

Dynamic model Modified model by Skander Tamallaah (NLR) Rigid body dynamics 30

Dynamics Analysis Trim 31

Dynamics Analysis Linearized system 32

Control Design Pitch control 33

Control Design Yaw and roll control check 34

Validation of dynamic model Flight tests Accurate flight data High frequency (100 Hz) Log platform: IMU Barometer RPM sensors 35

Validation of the log platform Flight test 36

Back up slides 37

Body sizing Cosine vs Spline 38

Wing Sizing Airfoil MH-60 Tailless aircraft: Zero pitch airfoil 39

Wing Sizing Lift and drag forces 40

Wing sizing Lift and drag coefficients 41

Wing Sizing Minimum drag 42

Motor Selection Motor performance characteristics 43

Motor Selection Motor performance characteristics 44

Motor Selection Motor performance characteristics 45

Total Efficiency Curve(1) Consistent variables 46

Total Efficiency Curve(1) Consistent variables 47

Control Design Pitch control 48

Control Design Pitch control: Differential gain 49

Control Design Pitch control: PI controller gain scheduling 50

Control Design Pitch control: simulation 51

Control Design Pitch control: simulation PI 52

Control Design Pitch control: simulation PID 53

Validation of dynamic model Procedure Cross reference flight data output with model input 54

Validation of dynamic model Flight tests Accurate flight data: Attitude Velocities (translational and rotational) Accelerations (translational and rotational) High frequency (100 Hz) 55

A possible control loop Lisa/M 56

Dynamic model Modified model by Skander Tamallaah (NLR) State vector 57

Dynamic analysis Dutch roll 58