Development of a Fully Autonomous Micro Aerial Vehicle for Ground Traffic Surveillance Aerospace Systems, University of Braunschweig.

Slides:



Advertisements
Similar presentations
Company Presentation. Summary Company profile Unmanned Systems – STRIX – SIXTON – Precision Airdrop System – Ground Software Electronics – Autopilots.
Advertisements

Company Presentation.
Learning with Purpose Control Design and Implementation of a Small-Scale Autonomous Hovercraft Ryan Mackay Joshua Bevan Nicholas Lutz Mario Stamatiou University.
Design Presentation Spring 2009 Andrew Erdman Chris Sande Taoran Li.
Presentation on Denel Dynamics UAV’s (IDEAS 2014)
“Sensor Flock” An Airborne Wireless Sensor Network of Micro-Air Vehicles Presented by: Ahmed ezz-eldin.
Gilbert Islas Feb. 25, 2012 SYSM  A micro air vehicle (MAV) is a class of unmanned aerial vehicles (UAV). unmanned aerial vehicles  Size restrictions.
ATMOSPHERIC REENTRY TRAJECTORY MODELING AND SIMULATION: APPLICATION TO REUSABLE LAUNCH VEHICLE MISSION (Progress Seminar Presentation - 2) K. Sivan (Roll.
Aerodynamic Modeling for the Ohio University UAV For the Quarterly Review of the NASA/FAA Joint University Program for Air Transportation Research Wednesday.
Attitude Determination and Control
Parth Kumar ME5643: Mechatronics UAV ATTITUDE AND HEADING HOLD SYSTEM.
UAV observations of the wintertime boundary layer over the Terra Nova Bay polynya John Cassano and Shelley Knuth Department of Atmospheric and Oceanic.
MASKS © 2004 Invitation to 3D vision Lecture 11 Vision-based Landing of an Unmanned Air Vehicle.
AT 209 Introduction to Civil Unmanned Aerial Systems (UAS)
Matt McKeever Jonathan Baker UAV Design Team 11/16/2006
Reegan Worobec & David Sloan In collaboration with UAARG.
Automatic Control & Systems Engineering Autonomous Systems Research Mini-UAV for Urban Environments Autonomous Control of Multi-UAV Platforms Future uninhabited.
EDGE™ MAV Control System - P Management Review (MSD I) Erik Bellandi – Project Manager Ben Wager – Lead Engineer Garrett Argenna – Mechanical Engineering.
Image Processing of Video on Unmanned Aircraft Video processing on-board Unmanned Aircraft Aims to develop image acquisition, processing and transmission.
1 AE - Control and Simulation – Micro Air Vehicle laboratory Flying Robots : the MAV-lab - Delfly: 3g, 10 cm, camera - Guinness book of records - Autonomous.
EDGE™ MAV Control System - P09122 Final Project Review Erik Bellandi – Project Manager Ben Wager – Lead Engineer Garrett Argenna – Mechanical Engineering.
Aircraft Response to Control Input Data Collection System Presenter: Curtis Cutright Advisor: Dr. Michael Braasch Project Sponsor: JUP.
April 26, Team Information Designation Ongo-03 Members Advisors Dr. J. Lamont, Prof. R. Patterson, Dr. Rajagopalan, Dr. J. Basart ClientSpace Systems.
1 ECE Department Thermal Mapping Drone FPR Team 17 Jamyang Tenzin Stefan Totino Dylan Fallon Jason Fellow Advisor: Joseph Bardin.
Unmanned aerial systems, what they are and what is available? Professor Sandor M Veres University of Sheffield.
Sérgio Ronaldo Barros dos Santos, Cairo Lúcio Nascimento Júnior,
Computer Vision Group Prof. Daniel Cremers Autonomous Navigation for Flying Robots Lecture 3.2: Sensors Jürgen Sturm Technische Universität München.
Development of a Mini-UAV for Urban Environments Tony Dodd and Beniamin Apopei.
Attitude Determination and Control System (ADCS)
Design Automation for Aircraft Design – Micro Air Vehicle Application
Computational Mechanics and Robotics The University of New South Wales
Recent and Future Research for Bird-like Flapping MAVs of NPU Prof. B.F.Song Aeronautics School of Northwestern Polytechnical University.
Vision-based Landing of an Unmanned Air Vehicle
o Portable low-cost aerial drone that can be used for reconnaissance o Relay real-time video and data, like location, heading, battery life o Take high-resolution.
1. COMMUNICATION Liam O’Sullivan  Control was off board (on the GCS)  Used XBee ZigBee RF modules for telemetry  Point to point communication.
Sérgio Ronaldo Barros dos Santos (ITA-Brazil)
AEM 5333 UAV Search and Surveillance. Mission Description Overhead surveillance and tracking – Humans on foot – Moving vehicles Onboard GPS transceiver.
UAV LANDING SYSTEM Submitted by: SHAKTI SINGH SHEKHAWAT SHRISH KUMAR SHUKLA RISHI KUMAR YADAV VINEET AGRAWAL.
Vanderbilt Aerospace Club Rocket Launched Reconnaissance UAV Design Team William Runge (ME) Kyser Miree (ME) Thomas Carroll (ME) Thomas Bowden.
IMPROVE THE INNOVATION Today: High Performance Inertial Measurement Systems LI.COM.
1 Mexico Regional AMDAR Workshop November 2011 Data Quality Monitoring and Control (QM / QC) Axel Hoff Convenor of WMO AMDAR Panel‘s Science and Technical.
Use of GIS Methodology for Online Urban Traffic Monitoring German Aerospace Center Institute of Transport Research M. Hetscher S. Lehmann I. Ernst A. Lippok.
Dipl.-Ing. Martin Ruhé German Aerospace Center (DLR) Institute of Transportation Research Workshop “Satellite based Traffic Measurement” Berlin, September.
Modelling and Open Loop Simulation of Reentry Trajectory for RLV Missions Ashok Joshi and K. Sivan Department of Aerospace Engineering Indian Institute.
HIAPER 3D Winds – current status - Dick Freisen -.
Method determinate angle of rotation of an IMU application for UAV Trinh Dinh Quan Southern TaiWan University.
DRONE: UNMANNED AERIAL VEHICLE Seminar Co-Ordinator:  Mr. A.K.Singh Seminar Presented by: Ajit Pal Singh.
February 2007 NASA Dryden Status Aerospace Control & Guidance Sub-committee Boulder, CO February 2007 John Bosworth (661)
FUFO project Final report.
LOGO FUFO overview Confidential document 1. LOGO Contents Idea 1 Overview 2 Scope 3 Detail 4 2.
1. 2 Content: ► 1pc Magnus Fusion Aircraft Vantage ► 1pc - Notebook based workstation for camera control and video display and storage ► 1pc - Peripherals.
1 SOARS Matt Edwards Arseny Dolgov John Shelton Johnny Jannetto Galina Dvorkina Nick Driver Eric Kohut Kevin Eberhart Self Organizing Aerial Reconnaissance.
AIAA Student Section Meeting December 2, 2004 spacegrant.colorado.edu/ demosat Colorado Space Grant Consortium.
1 Center for the Collaborative Control of Unmanned Vehicles (C3UV) UC Berkeley Karl Hedrick, Raja Sengupta.
Design Review #2-Spring ‘13 Team 6: Autonomous Ariel Vehicle AUVSI 2013 Student Unmanned Air Systems Competition Ken Anderson, Arielle Duen, Eric Milo,
MAV Programme at CASDE Hemendra Arya Department of Aerospace Engineering Indian Institute of Technology Bombay
Mini Autonomous Flying Vehicle CASDE is part of the National effort to develop a Micro Air Vehicle. CASDE has chosen a Mini Vehicle, in the short term,
By: Stuti Vyas( ) Drashti Sheth( ) Jay Vala( ) Internal Guide Mr. J. N. Patel.
End of Semester 1 Presentation: November 28, 2007.
RIT MAV System Review (P08121) Dr. Jeffrey Kozak – Faculty Guide Michael Reeder – Team Leader Kevin Hand – Lead Engineer Todd Fernandez – ME.
Beard & McLain, “Small Unmanned Aircraft,” Princeton University Press, 2012, Chapter 1: Slide 1 Chapter 1 Introduction.
Unmanned Aircraft for Agricultural Applications Unmanned Aircraft for Agricultural Applications (UAAA) Joe Sommer Professor of Mechanical.
© Crown copyright Met Office Wind and turbulence measurements on the BAe146 Phil Brown, OBR Conference, Dec 2012.
Presented by Robert Clark Instrument Technician
X-Pilot: Autopilot Solutions C. Edwards, J. Lasseigne, W. Overstreet, B. Penland X-pilot flight testing X-pilot groundstation demonstrating waypoint navigation.
KNU RTLAB A Real-Time Linux System For Autonomous Navigation And Flight Attitude Control Of An Uninhabited Aerial Vehicle Charles E. Hall, Jr. Mechanical.
The JAviator Project Rainer Trummer Computer Sciences Workshop '06
MAV 101. MAV 101 MAV 101 MAE 598 – Special Topics Micro Air Vehicles.
Vision Based Motion Estimation for UAV Landing
Joe Trefilek Jeff Kubascik Paul Scheffler Matt Rockey
Presentation transcript:

Development of a Fully Autonomous Micro Aerial Vehicle for Ground Traffic Surveillance Aerospace Systems, University of Braunschweig

Journées Micro-Drones Contents Introduction Theoretical Work The Hardware of “Carolo” Applications Current Status & Outlook

Aerospace Systems, University of Braunschweig Journées Micro-Drones Introduction - What is an MAV ? definition according to DARPA semiautonomous aerial vehicle max. dimensions: 15 x 15 x 15 cm max. mass: ~ 115 g (4 ounces) cost: < 1000$ additional requirements telemetry link to ground control (for remote control) real-time video link range: ~ 10 km cruising speed: ~ 50 km/h endurance: 20 min - 60 min Black Widow, Aerovironment Inc. Entomopter, GeorgiaTec

Aerospace Systems, University of Braunschweig Journées Micro-Drones Introduction - The Project “Carolo” Goal: development of an autonomously operating Micro Aerial Vehicle with dimensions as small as possible wing span0.40 m mass390 g cruising speed18 m / s endurance40 min range45 km

Aerospace Systems, University of Braunschweig Journées Micro-Drones Theoretical Work

Aerospace Systems, University of Braunschweig Journées Micro-Drones Theoretical Work – Overall Control Structure modeling of non-linear flight mechanics turbulent atmosphere sensor dynamics actuator dynamics pilot, navigation module autopilot attitude controller actuatorssensors wind damper

Aerospace Systems, University of Braunschweig Journées Micro-Drones dimensional parameter field Angle of Attack -10° <  < 40° Sideslip -32° <  < 32° Elevator -15° <  < 15° Aileron -15° <  < 15° Flaps -8° <  < 12° Wind Tunnel Readings C X, C Y, C Z, C L, C M, C N = f(  ) Calculated Damping Derivatives Roll Damping C Lp Pitch Damping C Mq Yaw Damping C Nr Wind tunel test april 2002 at the Institute of Fluid Dynamics, Technical University of Braunschweig Theoretical Work - Database

Aerospace Systems, University of Braunschweig Journées Micro-Drones Theoretical Work - Results Simulation of the autopilot simulation with:  actuator dynamics  sensor error models  carolo‘s control algorithms  stable behavior, stationary accuracy  oscillations due to sensor deadtime, GPS update rate missing curved flight compensation

Aerospace Systems, University of Braunschweig Journées Micro-Drones The Hardware of “Carolo”

Aerospace Systems, University of Braunschweig Journées Micro-Drones The Hardware of “Carolo” - Anatomy propulsion system actuators sensors telemetry on-board computer payload

Aerospace Systems, University of Braunschweig Journées Micro-Drones The Hardware of “Carolo” - Sensors receiver for Global Positioning System (GPS) atmospheric pressure sensor Inertial Measurement Unit (IMU) Micro-Electro-Mechanical Systems 3 angular rate sensors 3 linear acceleration sensors  commercial-off-the-shelf components (COTS)  in-flight sensor data fusion MEMS-based 6-dof IMU

Aerospace Systems, University of Braunschweig Journées Micro-Drones The Hardware of “Carolo” - Sensor Calibration comparison of MAV IMU data with Honeywell LaserNav, test flight with the university‘s research aircraft DO128

Aerospace Systems, University of Braunschweig Journées Micro-Drones The Hardware of “Carolo” - Onboard Electronics ACTUATORS PROPULSION PAYLOAD IMU GPS IMU GPS GPRS current autopilot hardware dimensions: 75mm*40mm*38 mm mass: 85 gr. including: on-board computer gps & antenna 3 accelerometers 3 gyros 3-axis magnetometer 2 pressure sensors video camera: 25 gr. (analog) telemetry: 50 gr. (future)

Aerospace Systems, University of Braunschweig Journées Micro-Drones Applications The MAV “Carolo”, wingspan 40 cm, mass 390 g

Aerospace Systems, University of Braunschweig Journées Micro-Drones Applications possible applications meteorology –vertical profiles of temperature and humidity –increase of spatial resolution by using multiple MAVs Live video transmission –Police, border patrol, military applications –Civil protection –Ground traffic surveilance

Aerospace Systems, University of Braunschweig Journées Micro-Drones Ground Traffic Surveillance - Concept mission control data analysis police, fire department ambulance accident investigation highway board department I n t e r n e t Carolo mobile access of information GPRS / UMTS

Aerospace Systems, University of Braunschweig Journées Micro-Drones Ground Traffic Surveillance - Image Sensor current: analog video camera –mass: ~ 25 g –dedicated radio downlink –live video stream –short range: ~ 200 m under progress: digital CMOS camera –mass: ~ 30 g –resolution: 1.3 megapixel –image transmission via telemetry link –frame rate depends on telemetry data rate –on-board image compression possible

Aerospace Systems, University of Braunschweig Journées Micro-Drones Ground Traffic Surveillance - Telemetry mobile cellular phone network –infrastructure already available –virtually unlimited range –comparably low data rate requires image compression (e.g. JPEG2000) typedata rate GSM9.6 kbps GPRS28.8 kbps UMTS384 kbps comparison of different standards for mobile communication

Aerospace Systems, University of Braunschweig Journées Micro-Drones Ground Traffic Surveillance - Aerial Image Quality high-resolution aerial picture, no compression no compression field of view: 510 m x 380 m image size: 1024 x 768 pixel data size: 2304 kbyte

Aerospace Systems, University of Braunschweig Journées Micro-Drones Ground Traffic Surveillance - Aerial Image Quality high-resolution aerial picture, compression rate 1:40 JPEG2000 (rate 1:40) field of view: 510 m x 380 m image size: 1024 x 768 pixel data size: 60 kbyte

Aerospace Systems, University of Braunschweig Journées Micro-Drones Ground Traffic Surveillance - Aerial Image Quality low-resolution aerial picture, compression rate 1:40 JPEG2000 (rate: 1:40) field of view: 160 m x 120 m image size: 320 x 240 pixel data size: 5.5 kbyte

Aerospace Systems, University of Braunschweig Journées Micro-Drones Ground Traffic Surveillance - Telemetry typedata rate time per hi-res. image time per lo-res. image GSM9.6 kbps62.5 s5.7 s GPRS28.8 kbps20.8 s1.9 s UMTS384 kbps1.6 s0.2 s comparison of different standards for mobile communication

Aerospace Systems, University of Braunschweig Journées Micro-Drones Ground Traffic Surveillance - Ground Control ground control PC software, server-client-based

Aerospace Systems, University of Braunschweig Journées Micro-Drones Current Status & Outlook

Aerospace Systems, University of Braunschweig Journées Micro-Drones Current Status - Towards Autonomous Flight Altitude Controller - August Waypoint Navigation - September  circling during strong thermal activity   H < 2m  no optimized feedback gains  succesful test of complete autopilot  test platform: model plane, span 1.5 m

Aerospace Systems, University of Braunschweig Journées Micro-Drones Outlook - Field Test cooperation with the German automobile club “ADAC Niedersachsen/Sachsen-Anhalt” agreement with local and federal authorities scheduled for Spring 2004 “Carolo XL”, wingspan 100 cm, mass 940 g MAV “Carolo”, wingspan 40 cm, mass 390 g

Aerospace Systems, University of Braunschweig Journées Micro-Drones Carolo‘s Flight, December 2002

Aerospace Systems, University of Braunschweig Journées Micro-Drones st autonomous Flight, September 5th, 2003

Aerospace Systems, University of Braunschweig Journées Micro-Drones First European Micro Air Vehicle Conference and Flight Competition EMAV 2004 Braunschweig, Germany 13 – 14 Juli 2004 organised by the German Institute of Navigation