A Persistent Monitoring System to Reduce Navy Aircraft Carrier Flight Deck Mishaps

This research analyzes the use of modern GN&C concepts, such as the Global Positioning System (GPS), with the potential for improvements in the safety of aircraft, equipment, and personnel onboard a United States Navy (USN) aircraft carrier. The results of a detailed analysis of USN safety records since 1980 show that mishaps which could potentially be prevented by a persistent monitoring system have resulted in the deaths of 13 sailors and account for over $90 million in damages, or 5% of the total cost of all flight deck and hangar bay related mishaps. Research efforts included a study of the movements of USN personnel and an FA-18C aircraft being towed at NAS Oceana, VA. Pseudospectral motion planning techniques are explored to provide route prediction for aircraft, support equipment, and personnel. A system to continually monitor flight deck operations is proposed, with four successive levels of increasing capability.

[1]  Jean-Claude Latombe,et al.  Randomized Kinodynamic Motion Planning with Moving Obstacles , 2002, Int. J. Robotics Res..

[2]  Paolo Bolzern,et al.  Path-tracking for articulated vehicles with off-axle hitching , 1998, IEEE Trans. Control. Syst. Technol..

[3]  Hak-Keung Lam,et al.  A fast path planning-and-tracking control for wheeled mobile robots , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[4]  Qi Gong,et al.  Pseudospectral motion planning techniques for autonomous obstacle avoidance , 2007, 2007 46th IEEE Conference on Decision and Control.

[5]  Michael A. Hurni,et al.  An Info-Centric Trajectory Planner for Unmanned Ground Vehicles , 2010 .

[6]  Larry Venetsky,et al.  Gesture Recognition for UCAV-N Flight Deck Operations , 2003 .

[7]  Kalevi Hyyppä,et al.  Navigating an articulated vehicle and reversing with a trailer , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[8]  I. Michael Ross,et al.  Autonomous Trajectory Planning Using Real-Time Information Updates , 2008 .

[9]  Vikram Kapila,et al.  Optimal path planning for unmanned air vehicles with kinematic and tactical constraints , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[10]  Dominick Andrisani,et al.  Intelligent ϵ-optimal path prediction for vehicular travel , 1995, IEEE Trans. Syst. Man Cybern..

[11]  Barbara Hayes-Roth,et al.  Intelligent Control , 1994, Artif. Intell..

[12]  Qi Gong,et al.  A pseudospectral method for the optimal control of constrained feedback linearizable systems , 2006, IEEE Transactions on Automatic Control.

[13]  Anthony Stentz,et al.  Optimal and efficient path planning for partially-known environments , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[14]  Kriston Philip Woolley,et al.  A Simulation of a Computer Graphics-Aided Aircraft Handling System. , 1975 .

[15]  Myoungkuk Park,et al.  Control of a mobile robot with passive multiple trailers , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[16]  Atilla Dogan Probabilistic approach in path planning for UAVs , 2003, Proceedings of the 2003 IEEE International Symposium on Intelligent Control.

[17]  Paolo Bolzern,et al.  An Input-Output Linearization Approach to the Control of an n-Body Articulated Vehicle , 2001 .

[18]  Martin David Adams,et al.  Autonomous vehicle-following systems : a virtual trailer link model , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[19]  Laird-Philip Ryan Lewis,et al.  Rapid motion planning and autonomous obstacle avoidance for unmanned vehicles , 2006 .

[20]  Thomas Joseph Giardina An interactive graphics approach to the flight deck handling problem , 1974 .