UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Autonomy at the surface Robotics in oceanography Source:

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Presentation transcript:

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Autonomy at the surface Robotics in oceanography Source:

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Hardware Software Theory Applications Future work Research topics

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Overview

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Power 6 batteries for 48V rail 1kW solar input Shore charging

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Actuators 1hp main propeller motor Max speed 4 m/s Geared stepper on the rudder 200lb of ballast

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Payload Fore and aft sensor payload bays ~4ft 3 volume Access to air and water

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Sensors

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Communications Xtend radio 1W/64km range baud TX/RX Source:

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Software Hardware Software Theory Applications Future work Research topics

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Toolchain Simulink Custom C Generated C Program file

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Toolchain continued Rapid code iteration Simulink examples lead directly to code Minimum coding knowledge requirement

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Development From simulation in Simulink To live code in-the-loop Both with actuators And without To live code

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Simulation PC

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Indoor HIL PC Controller Board Rudder Motor GS Propeller Motor Optional

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Outdoor HIL PC Controller Board GS

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Live testing Controller Board GS

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Onboard Control GPS position Manual control Waypoint guidance Multiple track runs

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Control software overview HIL In GPS Sensor Filtering HIL Out Stepper Controller Propeller Controller State Calculation Waypoint Guidance

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Groundstation Run on a standard laptop Live display w/ replay Matlab export Wireless link for full state display

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Theory Hardware Software Theory Applications Future work Research topics

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Kinematics 4-DOF model Roll Surge Sway Yaw

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Inverse-bicycle Model Calculates heading and position delta from the Surge and Sway.

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Waypoint Control Manages waypoint tracks Tracks source and destination Termination condition is patrol, loop, or hold Heading and speed control Speed control dependent on power Heading main focus

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB L 1 Control d

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB L 2 Control Extension of L 1 When d > |L 2 | use Aerosonde control law d

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB L 2+ Control When d < |L 2 | d

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Applications Hardware Software Theory Applications Future work Research topics

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Use-cases Ideally suited to long-term observation tasks Cheap Small Unmanned Low-maintenance Remotely manageable

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Oceanography Source:

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Wildlife observation Source:

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Data collection Weather monitoring Near-port traffic monitoring Tsunami watch Weather observation Mapping

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Future work Hardware Software Theory Applications Future work Research topics

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Moving forward Improved kinematics New groundstation Advanced path planning Obstacle avoidance High-level planner Improved sensors

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Improved kinematics Based on Fosson 1994 Additional forces Hydrodynamic (drag, etc.) External Propulsion Control surfaces

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB qGroundControl Source:

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Bézier path planning Source: Reference 4

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Obstacle avoidance Source: Reference 3

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB T-REX high-level planner Source: Reference 1

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Improved sensors Active radar Wind sensor Radar: Garmin GMR Wind sensor: Maretron WSO

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Research topics Hardware Software Theory Applications Future work Research topics

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB Open research topics Automated oceanography Sensor integration with controller Event detection & response Dynamic sampling Mixed traffic control Nautical rules Harbor navigation Multi-vehicle control Aerial/submerged vehicle cooperation

UC SANTA CRUZ, AUTONOMOUS SYSTEMS LAB References 1. K. Rajan, F. Py, C. McGann, J. Ryan, T. O'Reilly, T. Maughan & B. Roman. “Onboard Adaptive Control of AUVs using Automated Planning and Execution”. International Symposium on Unmanned Untethered Submersible Technology (UUST) August Durham, NH. 2. S. Park, J. Deyst, and J. P. How. “A New Nonlinear Guidance Logic for Trajectory Tracking”. In AIAA Guidance, Navigation, and Control Conference and Exhibit, Providence, RI, August AIAA Choi, J., Curry, R., and Elkaim, G., “Obstacle Avoiding Real-Time Trajectory Generation of Omnidirectional Vehicles,” IEEE Conference on Robotics and Automation, ICRA2009, Kobe, Japan, May 12-17, Choi, J., Curry, R., Elkaim, G., “Smooth Path Generation Based on Bezier Curves for Autonomous Vehicles”, World Congress on Engineering and Computer Science, WCECS 2009, San Francisco, CA, Oct , Fossen, T. I. (1994). Guidance and Control of Ocean Vehicles. John Wiley and Sons Ltd. ISBN M. Niculescu. Lateral Track Control Law for Aerosonde UAV. In 39th AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, January A