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

Slides:



Advertisements
Similar presentations
Introduction to the Global Positioning System
Advertisements

DSSI UAV Unmanned Aerial Vehicle Research & Development Project.
Company Presentation.
Learning with Purpose Control Design and Implementation of a Small-Scale Autonomous Hovercraft Ryan Mackay Joshua Bevan Nicholas Lutz Mario Stamatiou University.
Georgia Tech Aerial Robotics Dr. Daniel P Schrage Jeong Hur Fidencio Tapia Suresh K Kannan SUCCEED Poster Session 6 March 1997.
AirShip V2 VTOL UAV Patent Pending
TEAM 9 - MRAV DESIGN CONSTRAINTS ANALYSIS by Nick Gentry.
Design Presentation Spring 2009 Andrew Erdman Chris Sande Taoran Li.
ODS3F –Observation and Detection Systems For Forest Fire Monitoring
© Copyright 2011 MicroStrain Inc. High Performance Miniature Inertial Measurement Systems MicroStrain Inc Mike Robinson
Orbital Operations – 2 Rendezvous & Proximity Operations
Autonomous Cargo Transport System for an Unmanned Aerial Vehicle, using Visual Servoing Noah Kuntz and Paul Oh Drexel Autonomous Systems Laboratory Drexel.
Vertical Launch UAV Project Plan. ∞ Construct an unmanned aerial vehicle (UAV) with a camera payload ∞ UAV must autonomously navigate with real-time video.
Development of Guidance and Control System for Parafoil-Payload System VVR Subbarao, Sc ‘C’ Flight Mechanics & Control Engineering ADE.
From design… …development… … CFD analyses…
INNOCON Innovative solutions to the modern real time Arial surveillance challenges.
GIS and Image Processing for Environmental Analysis with Outdoor Mobile Robots School of Electrical & Electronic Engineering Queen’s University Belfast.
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
Automatic Control & Systems Engineering Autonomous Systems Research Mini-UAV for Urban Environments Autonomous Control of Multi-UAV Platforms Future uninhabited.
Image Processing of Video on Unmanned Aircraft Video processing on-board Unmanned Aircraft Aims to develop image acquisition, processing and transmission.
STARMAC The Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control Gabe Hoffmann, Haomiao Huang, Vijay Pradeep, Steven Waslander Aeronautics.
Data Processing Equipment
Aerospace Engineering By Patrick Ferrell. Aerospace Engineering is the main branch of engineering concerned with the research, design, development, construction,
Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kutatás-fejlesztés a közlekedési programok.
Jason Li Jeremy Fowers Ground Target Following for Unmanned Aerial Vehicles.
Team Phoenix March 15, Project Goal Our team will develop an air vehicle that will not only navigate a course autonomously while providing real.
Commercialization of Mobile Real-Time Situational Awareness Technologies for Business Decision-Makers S4 Worldwide LLC.
Unmanned aerial systems, what they are and what is available? Professor Sandor M Veres University of Sheffield.
Software and hardware solution for remote vehicle monitoring based on GLONASS/GPS navigation.
Development of a Fully Autonomous Micro Aerial Vehicle for Ground Traffic Surveillance Aerospace Systems, University of Braunschweig.
Real-time Dense Visual Odometry for Quadrocopters Christian Kerl
October 2006 NASA Dryden Status Aerospace Control & Guidance Sub-committee Williamsburg, VA October 2006 John Bosworth (661)
David Gitz, EE, ICARUS Lead Engineer Senior Design.
Computational Mechanics and Robotics The University of New South Wales
INDIAN INSTITUTE OF TECHNOLOGY MADRAS Department of Engineering Design AUTONOMOUS UNDERWATER ROBOTIC LABORATORY Researchers : Dr. Asokan Thondiyath, Mr.
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.
LUNAR ROVER Concept proposal meeting Dr. Ashish Dutta Indian Institute of Technology Kanpur Kanpur, INDIA ( *** for private circulation only)
UAV LANDING SYSTEM Submitted by: SHAKTI SINGH SHEKHAWAT SHRISH KUMAR SHUKLA RISHI KUMAR YADAV VINEET AGRAWAL.
Critical Design Review- UCF Jeremy Young Anthony Liauppa Erica Terry, Emily Sachs Kristen Brightwell Gillian Smith 1.
Use of GIS Methodology for Online Urban Traffic Monitoring German Aerospace Center Institute of Transport Research M. Hetscher S. Lehmann I. Ernst A. Lippok.
Phong Le (EE) Josh Haley (CPE) Brandon Reeves (EE) Jerard Jose (EE)
Projectile Kinetic Energy Reduction System (PKERS)
UK Aerial Robotics Team UK IDEA Laboratory Workforce Development: The UK Aerial Robotics Team and the PAX River Student UAV Competition Dale McClure (Matt.
10/19/2005 ACGSC Fall Meeting, Hilton Head SC Copyright Nascent Technology Corporation © 2005 James D. Paduano 1 NTC ACTIVITIES 2005 Outline 1)Activities.
Cooperative Air and Ground Surveillance Wenzhe Li.
David Gitz, EE, ICARUS Lead Engineer.  Michael Welling  PhD Candidate  ICARUS Vehicle Engineer  Ben Wasson  Masters Student  ICARUS Business Manager.
DRONE: UNMANNED AERIAL VEHICLE Seminar Co-Ordinator:  Mr. A.K.Singh Seminar Presented by: Ajit Pal Singh.
Aeronautics & Astronautics Autonomous Flight Systems Laboratory All slides and material copyright of University of Washington Autonomous Flight Systems.
FUFO project Final report.
Networks of Autonomous Unmanned Vehicles Prof. Schwartz Prof. Esfandiari Prof. P. Liu Prof. P. Staznicky.
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.
Software Narrative Autonomous Targeting Vehicle (ATV) Daniel Barrett Sebastian Hening Sandunmalee Abeyratne Anthony Myers.
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,
Presented by Robert Clark Instrument Technician
© 2012 Anwendungszentrum GmbH Oberpfaffenhofen Idea by: Dr. Eng. Mohamed Zayan | 1.
Cloud Cap Technologies
Presentation of equipment.
Vision Based Autonomous Control of a Quadcopter
Friends and Partners of Aviation Weather
Pursuit-Evasion Games with UGVs and UAVs
Vision Based Motion Estimation for UAV Landing
PAX River Competition UK Aerial Robotics Team University of Kentucky.
Vesa Klumpp, Knowtion Applications of Intelligent Control in Industry and Adaption to Space Missions Vesa Klumpp, Knowtion
Joe Trefilek Jeff Kubascik Paul Scheffler Matt Rockey
Autonomous Targeting Vehicle (ATV)
Rudra Timsina Micah Lucas Marc Salas Advisor: Richard Messner
Presentation transcript:

Company Presentation

Summary Company profile Unmanned Systems – STRIX – SIXTON – Precision Airdrop System – Ground Software Electronics – Autopilots Guidance, Navigation and Control Space Advanced Research

A3R Profile Objectives – Develop and sell Unmanned Systems. – Design Guidance, Navigation and Control Systems in aeronautics. – Research and Develop new technologies in mecatronics – Advanced research in aerospace and robotics engineering Partnership with Alpi Aviation – Development, marketing and sales of Unmanned Aerial Systems

Young and dynamic SME focused in research and new technolohies. Engineering background in the following fields: – Aeronaunatics and Space – Microelectronics – Unmanned Systems – Mecatronics – Computer Vision – Real time computations Offices – Rome and Pordenone A3R Activities

New technologies in house – Research – Design – Development Know-how and IPR Partnership with other companies in manifacturing A3R Product Flow

Unmanned Aerial Systems

UAS Systems Know - how Ground Segment (CUCS + CDT) – System Design – Ground Software & Hardware – System Integration – Data & Video Communications – HRI & Simulators Flight Segment (UAV) – On board systems design – On board software – Autopilots – Power Supply & Monitoring Unit – Communication boards – Payload – Propulsion design

Unmanned Aerial Systems Joint venture with Alpi Aviation A3R – System design – Autopilot – onboard Avionics – Airborne Software – Ground Segment Software – Systems integration Alpi Aviation – Airframe design and manufacturing – Systems integration – Marketing and sales

UAS Products Currently main focus in the Mini-UAV market Fixed Wing UAV – STRIX – Currently in use with Italian Airforce – Military Type Certificate (AERP-2) Rotor Wing UAV – SIXTON – March 2010 entry into service with Italian Army – Military Type Certificate (AERP-2)

STRIX-C Unmanned Aerial System Strix UAV – Electric Propulsion – Maximum Takeoff weight = 8.6kg – Range = 12.5km – Endurance = 135min – Cruise Speed = 60 km/h Features – Auto-takeoff (Catapult) – Auto landing – Way point navigation – Payload Target Tracking

STRIX-C Unmanned Aerial System Payload Pan/Tilt – Pan ± 80° – Tilt ± 70° Day-time Cartridge – Zoom 10x Night-time Cartridge – IR Camera – Zoom 2x

STRIX-C Unmanned Aerial System Strix Core UAV Control Station – Moving Map – Control of 3 UAV in flight – Real Time Video Display & Recording – Warning system Strix Control Data Terminal – Video data terminal – Telemetrydata terminal – Wi-Fi access point

SIXTON Unmanned Aerial System SIXTON UAV – Max takeoff weight = 2 kg – Max Range = 7 Km (video link) – Max Endurance = 30 min Features – Auto Vertical Takeoff and Landing – Hovering – Perch and Stare Strix Commonalities – Common Core UAV Control Station – Common Control Data Terminal – Common Payloads

Core Uav Control Station (CUCS) Sixton Core UAV Control Station – Ruggerized Pc with touch screen – Dynamic control keys – Moving Map – Terrain Elevation Data – Control of 3 UAV in flight – Mission variations during flight – Real Time Video Display & Recording – Loiter & Fly-By Waypoints – Route informations (time to go) – Geographic data importation – Warning system – Mission Debriefing and Analysis

Remote Video Display External Unit – Light and portable – Touch screen – Plug & Play – Low battery consumption Video autonomous operator – Complete camera control – Autonomous target tracking – Recording management – MUAV video control

Precision Airdrop System Partnership with Aerosekur The ability to deliver accurately a payload by means of a steerable parachute Motivations – Reduce dispersion due to wind – Increase standoff (protection for Air Vehicles. – Resupply of Special Operations Forces – Soft Landing Capabilities – Resupply behind enemy lines

Precision Airdrop System Composed of three main elements –Ram Air Canopy –Airborne Guidance Unit (AGU) –Payload Ram Air Canopy –Has a glide ratio between 2 – 4 –This means that for every 1 Km of vertical descent the system can travel up to 4 Km horizontally –Deploying the system from 5km altitude one has at least 20km standoff (can be increased with wind) Ram-Air Canopy Payload Airborne Guidance Unit

Precision Airdrop System Airborne Guidance Unit (AGU) –Autopilot –2 DC motors –Batteries Autopilot –Inertial Measurement Unit –3 Axis Magnetometer –GPS –Barometric Sensor Airborne Software –Sensor fusion Kalman Filter –Trajectory generation and following –Wind Estimation DC Motors Batteries

Precision Airdrop System Mission Planner (MP) –Laptop PC with MP software –Target is given –Dispatch Point is determined by wind conditions and canopy performance. –All above aspects are automatically taken care of by the mission planner Feasible Area –Area from which it is possible to reach the target given the wind and canopy characteristics. Dispatch Point Target Point Feasible Area

3D Simulation Environment Back-end simulator –6DOF vehicle dynamics –Sensors emulation –Vehicle Data terminal emulation –Real embedded GNC C code –Network communication protecol over UDP Front-end visualiser –3D terrain model –Real terrain elevation data –Real time data fetching over local /remote server –HUD visualization

Guidance, Navigation and Control

Guidance Mainly applied to UAV systems Trajectory Generation: dynamic optimization Path Planning Obstacle Avoidance Online recursive Auto landing – terminal area energy management – Minimum time optimal trajectories Waypoint & Loiter guidance

Navigation Mainly applied to UAV systems Sensor Fusion – Inertial sensors – Magnetic sensors – GNSS – Air data sensors Techniques – Extended Kalman Filtering (UD Filtering) – Adaptive Kalman Filtering A3R AHRS software implemented on Eclipse by Flybox (Microel)

Control System Design Linear Control – Optimal Control: LQR, LQG, LMI – Robust Control: H, -syn, LMI Non Linear Control – Back stepping – Dynamic inversion Adaptive Control – Model Reference Adaptive – Neural networks LPV Model Predictive Control

Electronics

YAAP AutoPilot Characteristics – 3 axis accelerometer – 3 axis gyro – 3 axis magnetometer – Barometric Pressure sensor – Differential Pressure sensor – All sensors are temperature compensated from -20 °C to +70 °C – Dimensions: 9.2[cm] x 6[cm] x 3.6[cm] – Weight: 60 [gr] Sensor Fusion Kalman Filter – Real time attitude (50 Hz) – Real time position (10 Hz)

YAAP+ AutoPilot Characteristics – 3 axis accelerometer, gyro and magnetometer – Barometric and Differential Pressure sensors – EEPROM – Dual Processor – SD Flight Data Recorder – All sensors are temperature compensated from -20 °C to +70 °C – Dimensions: 7.4[cm] x 5.9[cm] x 2.7[cm] – Weight: 48 [gr] Sensor Fusion Kalman Filter – Real time attitude (100Hz) – Real time position ( 50Hz)

PSMU Power Supply and Monitoring Unit (PMSU) – Input : 18V – 30V – Output: 12V 6V 3.3V & 5V – Interfaces: Serial, I2C, SPI ADC, DAC – Dimensions: 8.0[cm] x 4.5[cm] x 1.7[cm] – Weight: 55 [gr]

Space

European Space Agency ESA ITT – Robust Model Predictive Control for Space Constrained Systems – Applications: rover locomotion, Formation Flying and lunar landing – A3R responsible for Formation Flying Yardstick application

European Space Agency - 2 ESA ITT – Robust Flight Control System Design Verification & Validation Framework (RFCS) – Applications: Space Launchers, Re-usable Launch Vehicle, Re-entry Vehicles. – A3R responsible for developments of advanced V&V techniques and tools for analysis and design of Robust Control Systems for Space Launchers.

Launch Vehicles Consulting for ELV SpA Lyra Launch Vehicle – A3R responsible for GNC Vega Launch Vehicle – Thrust vector control algorithms – Attitude control algorithms – Simulations

Advanced Research

Computer Vision Research Mainly applied to UAS –Real time video processing –Stabilization –Target detection and tracking –Sensor fusion –Collision avoidance –Pattern recognition –Vision based Navigation and Control Non UAS applications –Automatic Observation Systems –Traffic monitoring –Motion detection –Obstacle localization

Computer Vision Workflow Software development –Propriety base libraries –High level interface –Mobile devices implementations Hardware implementation –Better performance –On board computation –Embedded systems

Real Time Visualization Main specifications –MPG4, H.264, MJPEG –High frame rate: 25fps –High resolution: D1 –Low latency: <80 ms High level operability –On Screen Display (video post processing) –Head up Display (manned vision based navigation) –Augmented Reality (vision based mission planning)

Stabilization Main specifications –Real time processing –Translational –Rotational –Background projection Implementation –Ground software: CUCS –Ground hardware: GDT –On board hardware STABILIZATION BOARD

Target Tracking Main specifications –Real time processing –Low latency –Different algorithms High level operability –On video pointing and selection DEVELOPMENT BOARD

Pattern recognition Main specifications –Real time processing –People tracking –Face recognition –Object counting Main application –Traffic monitoring –Border surveillance

Conclusions