1. COMMUNICATION Liam O’Sullivan - 06308627 3  Used XBee RF 2.4 GHz modules for telemetry  Point to point communication (platform and GCS)  Disadvantages.

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Presentation transcript:

1

COMMUNICATION Liam O’Sullivan

3  Used XBee RF 2.4 GHz modules for telemetry  Point to point communication (platform and GCS)  Disadvantages  Serial interface  Closed architecture (hard to expand)  User implemented synchronisation  No interface standard

4 HLO-5 Communications SR-B-08 and 09 Transmit and Receive Telemetry via WLAN WiFi Communication Design and Architecture

5  Server-client architecture  Main server onboard (devices connect to it)  Multiple device/client connections  Standard networking protocol (UDP and TCP)  Utilises ‘Heliconnect’ software library  Common network interface (headers)  Ability to communicate with other projects

6  Wireless adhoc network (point to point)  Unstable (particularly for non-Apple products)  Incompatible  Wireless router network  Centralised router  Devices communicate through the router  Uses Linksys WRT54GL  Internet gateway

7

8  WiFi design and architecture implemented  Stable and reliable UDP and TCP connections between server and clients  Multiple SSH connections between platform and clients  Successful connection between UDP server onboard with multiple GCS clients  Successful connection between TCP Blackfin Camera image feed and GCS client

STATE ESTIMATION Liam O’Sullivan

10 HLO-3 State Estimation SR-B-04, 05 and 06 50Hz State update States and Sensors SR-D-05 Process Measurement Data Attitude Estimator and Kalman Filtering

11  17 States to be measured StateSensorStateSensor Roll rateIMU and ViconX velocityIMU* and Vicon Pitch rateIMU and ViconY velocityIMU* and Vicon Yaw rateIMU and ViconZ velocityIMU* and Vicon RollIMU* and ViconX displacementIMU* and Vicon PitchIMU* and ViconY displacementIMU* and Vicon YawIMU* and ViconZ displacement IMU*, Altitude Sensor and Vicon X accelerationIMU and ViconX targetBlackfin Camera Y accelerationIMU and ViconY targetBlackfin Camera Z accelerationIMU and Vicon

12  Sensor Dynamics 6 DOF IMU  3 gyroscopes and 3 accelerometers  Measures  Angular rates  Accelerations  Indirectly measures  Angles  Velocities  Displacements  75Hz update rate  SPI connection (with Overo Fire)  Inherited from AHNS 2009

13  External motion capture system  Tracks reflective spheres with 5 IR cameras  Can measure all required states (except the camera tracking states) with sub mm accuracy  200Hz update rate  Ethernet connection (via GCS)  Not used for low level control (latency)  Verification and Validation tool  Located at the ARCAA building

14  Maxbotix ultrasonic sensor  Measures vertical displacement  Sonar range finder (not IR based)  Replaced by Vicon System  Still incorporated for redundancy  UART connection (with Overo Fire)  Inherited from 3 rd year project

15  Blackfin camera with Analog Devices processor  Embedded image processing (IP)  Interface and IP library  Get camera frame  Edge detection  Colour segmentation  Blob detection and others  WiFi connection (camera feed)  SPI connection (IP tracking states)  Recommended by Supervisor

16

17  IMU measurements are noisy and will drift  Require attitude estimator to correct for this  Will be based on the attitude estimator from AHNS 2009  Basic Kalman filter

18  All sensors are operational  Software interface libraries completed for  IMU (sensor data access through Overo Fire)  Blackfin Camera (image feed and command GCS widget)  Future work  Altitude sensor software interface  Vicon system client  Attitude estimator implementation

LOCALISATION Liam O’Sullivan

Localisation 20 HLO-2 Localisation SR-B-07 Estimation of X and Y displacement Image Processing

21  Blackfin Camera mounted underneath platform  Search for cross “blob” to localise itself (via IP)  Dead reckoning navigation from blob centroid (x and y displacement)

22  Newly integrated Vicon system eliminates need for dead reckoning  Will now perform a path tracking function for autonomous navigation (xt and yt displacement)

Localisation Summary 23  Success of this subsystem is dependent on all other subsystems  Re-evaluation of subsystem may need to occur if progress stalls on other subsystems

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