Mission Health Management for 24/7 Persistent Surveillance Operations

This paper presents the development and implementation of techniques used to manage autonomous unmanned aerial vehicles (UAVs) performing 24/7 persistent surveillance operations. Using an indoor flight testbed, flight test results are provided to demonstrate the complex issues encountered by operators and mission managers when executing an extended persistent surveillance operation in realtime. This paper presents mission health monitors aimed at identifying and improving mission system performance to avoid down time, increase mission system eciency and reduce operator loading. This paper discusses the infrastructure needed to execute an autonomous persistent surveillance operation and presents flight test results from one of our recent automated UAV recharging experiments. Using the RAVEN at MIT, we present flight test results from a 24 hr, fully-autonomous air vehicle flight-recharge test and an autonomous, multi-vehicle extended mission test using small, electric-powered air vehicles.

[1]  Dimitri P. Bertsekas,et al.  Dynamic Programming and Optimal Control, Two Volume Set , 1995 .

[2]  George L. Nemhauser,et al.  The aircraft rotation problem , 1997, Ann. Oper. Res..

[3]  Cynthia Barnhart,et al.  Integrated Airline Schedule Planning , 1998 .

[4]  Gang Yu,et al.  OPERATIONS RESEARCH IN THE AIRLINE INDUSTRY. , 1998 .

[5]  Shin'ichi Yuta,et al.  A First-Stage Experiment of Long Term Activity of Autonomous Mobile Robot - Result of Repetitive Base-Docking Over a Week , 2000, ISER.

[6]  D.A. Castanon,et al.  Closed-loop control for joint air operations , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[7]  Benjamin Van Roy,et al.  The linear programming approach to approximate dynamic programming: theory and application , 2002 .

[8]  John-Paul Clarke,et al.  Modeling and control of airport queueing dynamics under severe flow restrictions , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[9]  Joseph C. Hartman,et al.  The series–parallel replacement problem , 2002 .

[10]  Jonathan P. How,et al.  Cooperative path planning for multiple UAVs in dynamic and uncertain environments , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[11]  George L. Nemhauser,et al.  Rerouting Aircraft for Airline Recovery , 2003, Transp. Sci..

[12]  Benjamin Van Roy,et al.  The Linear Programming Approach to Approximate Dynamic Programming , 2003, Oper. Res..

[13]  Gregory L. Plett,et al.  Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 1. Background , 2004 .

[14]  Eric W. Frew,et al.  Flight Demonstrations of Self-directed Collaborative Navigation of Small Unmanned Aircraft , 2004 .

[15]  Gregory L. Plett,et al.  Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation , 2004 .

[16]  Terry Hansen,et al.  Support vector based battery state of charge estimator , 2005 .

[17]  David Serena Adaptive hierarchical swarming in persistent surveillance applications , 2005, SPIE Defense + Commercial Sensing.

[18]  Massoud Pedram,et al.  An analytical model for predicting the remaining battery capacity of lithium-ion batteries , 2003, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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

[20]  Jonathan P. How,et al.  Embedding Health Management into Mission Tasking for UAV Teams , 2007, 2007 American Control Conference.

[21]  Gerd Hirzinger,et al.  Energy-efficient Autonomous Four-rotor Flying Robot Controlled at 1 kHz , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[22]  Mario J. Valenti Approximate dynamic programming with applications in multi-agent systems , 2007 .

[23]  P.B. Sujit,et al.  Cooperative Path Planning for Multiple UAVs Exploring an Unknown Region , 2007, 2007 American Control Conference.

[24]  Nikolaos Papadakos,et al.  Integrated airline scheduling , 2009, Comput. Oper. Res..