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The JAviator Quadrotor An Aerial Software Testbed
Rainer Trummer Department of Computer Sciences University of Salzburg, Austria August 20, 2010
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Introduction The JAviator Project The JAviator Quadrotor
Airframe Construction Avionics Components Computer System Quadrotor Dynamics Control System Design Control System Performance Software Architecture Conclusions
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The JAviator Project Project goals: Real-time programming in Java:
Develop high-payload quadrotor model helicopters Develop high-level real-time programming abstractions Verify solutions on JAviator (Java Aviator) helicopters Real-time programming in Java: Write-once-run-anywhere also for real time (time portability) Exotasks vs. Java threads (collaboration with IBM Research) Real-time programming in C: Time-portable software processes (CPU, I/O, Memory) Real-time operating system Tiptoe: tiptoe.cs.uni-salzburg.at
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The JAviator Quadrotor
Jan 2006 – Aug 2007: JAviator V1 Entirely hand-fabricated CF, AL, and TI components Total diameter (over spinning rotors): 1.1 m Empty weight (including all electronics): 1.9 kg
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The JAviator Quadrotor
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The JAviator Quadrotor
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The JAviator Quadrotor
Since February 2007: JAviator V2 CNC-fabricated, flow-jet-, and laser-cut components Total diameter (over spinning rotors): 1.3 m Empty weight (including all electronics): 2.2 kg
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Airframe Construction
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Airframe Construction
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Airframe Construction
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Airframe Construction
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Airframe Construction
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Airframe Construction
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Airframe Construction
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Airframe Construction
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Avionics Components
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Avionics Components
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Avionics Components
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Avionics Components
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Computer System
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Quadrotor Dynamics Climb Yaw Roll Pitch
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Quadrotor Dynamics X-Y-Z Cartesian Coordinates versus Z-Y-X Aircraft Coordinates Roll: −π ≤ Φ ≤ π Pitch: −½π ≤ θ ≤ ½π Yaw: −π ≤ Ψ ≤ π
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Control System Design
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Control System Design
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Control System Design
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Control System Design
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Control System Design
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Control System Design
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Control System Design
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Control System Design
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Control System Design
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Control System Performance
Initial Status Many problems with automatic altitude control Very unsatisfying attitude stability and response Current Status Excellent stability with extended Kalman filters Perfectly tuned and working control system Position Control RFID accuracy varies from 20 cm to > 50 cm On-demand control to improve position hold Robustness Very fault tolerant in regard to timing issues Highly sensitive to lost or dropped sensor data
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Control System Performance
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Control System Performance
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Software Architecture
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Conclusions Hardware Software
Helicopter development was least time-consuming Custom-built hardware increased production costs But unique platform with high demonstrative impact Software No way around embedded programming and writing individual low-level driver software Great amount of time was spent solving pure control engineering problems Complexity increased rapidly but raised interesting computer science challenges
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Thank You! Questions?
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