Avionics Design for a Sub-Scale Fault- Tolerant Flight Control Test-Bed

1. For carrying remote sensing or other scientific payloads. Highly publicized examples of such applications include the forest fire detection effort jointly conducted by NASA Ames research centre and the US Forest Service (Ambrosia et al., 2004), and the mission into the eye of hurricane Ophelia by an Aerosonde® UAV (Cione et al., 2008); 2. For evaluating different sensing and decision-making strategies as an autonomous vehicle. For examples, an obstacle and terrain avoidance experiment was performed at Brigham Young University to navigate a small UAV in the Goshen canyon (Griffiths et al., 2006); an autonomous formation flight experiment was performed at West Virginia University (WVU) with three turbine-powered UAVs (Gu et al., 2009); 3. As a sub-scale test bed to help solving known or potential issues facing full-scale manned aircraft. For example, a series of flight test experiments were performed at Rockwell Collins (Jourdan et al., 2010) with a sub-scale F-18 aircraft to control and recover the aircraft after wing damages. Another example is the X-48B blended wing body aircraft (Liebeck, 2004) jointly developed by Boeing and NASA to investigate new design concepts for future-generation transport aircraft.

[1]  Duane T. McRuer,et al.  AVIATION SAFETY AND PILOT CONTROL: UNDERSTANDING AND PREVENTING UNFAVORABLE PILOT-VEHICLE INTERACTIONS , 1997 .

[2]  Marcello R. Napolitano,et al.  Nonlinear Aircraft Model Identification and Validation for a Fault-Tolerant Flight Control System , 2010 .

[3]  Brian R. Geiger,et al.  Intelligent Unmanned Air Vehicle Flight Systems , 2007, J. Aerosp. Comput. Inf. Commun..

[4]  James A. Brass,et al.  COLLABORATIVE EFFORTS IN R&D AND APPLICATIONS OF IMAGING WILDFIRES , 2003 .

[5]  David W. Vos,et al.  Enhancing UAV Survivability Through Damage Tolerant Control , 2010 .

[6]  Marcello R. Napolitano,et al.  Flight-Test Evaluation of Sensor Fusion Algorithms for Attitude Estimation , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[7]  D. Simon Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches , 2006 .

[8]  Marcello R. Napolitano,et al.  Sensitivity Analysis of EKF and UKF in GPS/INS Sensor Fusion , 2011 .

[9]  Eugene A. Morelli,et al.  Aircraft system identification : theory and practice , 2006 .

[10]  Rodney Teo,et al.  DragonFly: a versatile UAV platform for the advancement of aircraft navigation and control , 2001, 20th DASC. 20th Digital Avionics Systems Conference (Cat. No.01CH37219).

[11]  B. Bethke,et al.  Real-time indoor autonomous vehicle test environment , 2008, IEEE Control Systems.

[12]  Eric N. Johnson,et al.  Small Adaptive Flight Control Systems for UAVs using FPGA/DSP Technology , 2004 .

[13]  Mario G. Perhinschi,et al.  Design and Flight Testing of Intelligent Flight Control Laws for the WVU YF-22 Model Aircraft , 2005 .

[14]  R. H. Liebeck,et al.  Design of the Blended Wing Body Subsonic Transport , 2002 .

[15]  Ying C. Yeh Design considerations in Boeing 777 fly-by-wire computers , 1998, Proceedings Third IEEE International High-Assurance Systems Engineering Symposium (Cat. No.98EX231).

[16]  M. Grassi,et al.  AIAA Guidance, Navigation, and Control Conference , 2008 .

[17]  Timothy W. McLain,et al.  Maximizing miniature aerial vehicles , 2006, IEEE Robotics & Automation Magazine.

[18]  Marcello R. Napolitano,et al.  Autonomous Formation Flight: Design and Experiments , 2009 .

[19]  Austin M. Murch A Flight Control System Architecture for the NASA AirSTAR Flight Test Infrastructure , 2008 .

[20]  Christine M. Belcastro,et al.  AirSTAR: A UAV Platform for Flight Dynamics and Control System Testing , 2006 .