System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Towards a navigation system for autonomous indoor flying
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Quadrocopter localization using RTK-GPS and vision-based trajectory tracking
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part I
Model identification and H∞ attitude control for quadrotor MAV's
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part II
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This work presents the results of an effort to create a high performance quad-rotor MAV named iQCopter for research in the field of swarm robotics and vision-based autonomous operation. During the design, navigational and computational capabilities have been of major priority. A distinctive feature of the iQCopter is its layered system architecture using a comparably powerful, hard real-time capable x86-computer even in the innermost control loop for maximum transparency and ease of use while a simple fixed-point microcontroller provides a low-level sensor interface and a fallback solution for safety reasons. Finally, a successful system identification and subsequent design of an aggressive H∞ controller are presented as benchmark cases to demonstrate the performance of the design.