Experiments with small helicopter automated landings at unusual attitudes

This paper describes a set of experiments involving small helicopters landing automated landing at unusual attitudes. By leveraging the increased agility of small air vehicles, we show that it is possible to automatically land a small helicopter on surfaces pitched at angles up to 60 degrees. Such maneuvers require considerable agility from the vehicle and its avionics system, and they pose significant technical and safety challenges. Our work builds upon previous activities in human-inspired, high-agility flight for small rotorcraft. However, it was not possible to leverage manual flight test data to extract landing maneuvers due to stringent attitude and position control requirements. Availability of low-cost, local navigation systems requiring no on-board instrumentation has proven particularly important for these experiments to be successful.

[1]  Emilio Frazzoli,et al.  Aggressive Maneuvering of Small Autonomous Helicopters: A Human-Centered Approach , 2001, Int. J. Robotics Res..

[2]  S. Shankar Sastry,et al.  Multiple view motion estimation and control for landing an unmanned aerial vehicle , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[3]  Glenn P. Tournier,et al.  Estimation and Control of a Quadrotor Vehicle Using Monocular Vision and Moire Patterns , 2006 .

[4]  S. Sastry,et al.  Output tracking control design of a helicopter model based on approximate linearization , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[5]  Robert C. Nelson,et al.  Flight Stability and Automatic Control , 1989 .

[6]  V. Rich.  Personal communication , 1989, Nature.

[7]  Ben Tse,et al.  Autonomous Inverted Helicopter Flight via Reinforcement Learning , 2004, ISER.

[8]  S. Shankar Sastry,et al.  A vision system for landing an unmanned aerial vehicle , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[9]  Eric Feron,et al.  Control Logic for Automated Aerobatic Flight of a Miniature Helicopter , 2002 .

[10]  Peter I. Corke.  An inertial and visual sensing system for a small autonomous helicopter , 2004 .

[11]  Gaurav S. Sukhatme,et al.  Landing on a Moving Target Using an Autonomous Helicopter , 2003, FSR.

[12]  So-Ryeok Oh,et al.  Autonomous Helicopter Landing on a Moving Platform Using a Tether , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[13]  Jonathan P. How,et al.  Indoor Multi-Vehicle Flight Testbed for Fault Detection, Isolation, and Recovery , 2006 .

[14]  Tim,et al.  Full Mission Simulation of a Rotorcraft Unmanned Aerial Vehicle for Landing in a Non-Cooperative Environment , 2005 .

[15]  Gaurav S. Sukhatme,et al.  An Experimental Study of the Autonomous Helicopter Landing Problem , 2002, ISER.

[16]  Gaurav S. Sukhatme,et al.  Towards vision-based safe landing for an autonomous helicopter , 2002, Robotics Auton. Syst..

[17]  Pieter Abbeel,et al.  An Application of Reinforcement Learning to Aerobatic Helicopter Flight , 2006, NIPS.

[18]  H. Shim,et al.  A comprehensive study of control design for an autonomous helicopter , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[19]  Eric Feron,et al.  Human-Inspired Control Logic for Automated Maneuvering of Miniature Helicopter , 2004 .

[20]  Lorenzo Marconi,et al.  Robust nonlinear motion control of a helicopter , 2003, IEEE Trans. Autom. Control..

[21]  Peter Corke.  An Inertial and Visual Sensing System for a Small Autonomous Helicopter , 2004, J. Field Robotics.