Performance evaluation of neural network based approaches for airspeed sensor failure accommodation on a small UAV

2013 21st Mediterranean Conference on Control and Automation, MED 2013 - Conference Proceedings

Volumn , Issue , 2013, Pages 603-608

  Gururajan, Srikanth ^a   Fravolini, Mario L ^b   Chao, Haiyang ^a   Rhudy, Matthew ^a   Napolitano, Marcello R ^a  

^a West Virginia University   (United States)

^b UNIVERSITY OF PERUGIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUAL MEASUREMENTS; AIR DATA SYSTEM(ADS); AIRSPEED SENSORS; FLIGHT CONTROL LAW; MINIMAL RESOURCE ALLOCATING NETWORKS; MULTILAYER FEEDFORWARD; NETWORK-BASED APPROACH; TRADITIONAL APPROACHES;

DECELERATION; ERROR STATISTICS; FLIGHT CONTROL SYSTEMS; REDUNDANCY; RESEARCH; RESEARCH AIRCRAFT; SENSORS;

NEURAL NETWORKS;

EID: 84885224908     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MED.2013.6608784     Document Type: Conference Paper

References (28)

1. Williams-Hayes, P. S., "Flight Test Implementation of a Second Generation Intelligent Flight Control System," NASA Technical Report TM-2005-213669, 2005.
2. Maine, T., Burken, J., Burcham, F. and Schaefer, P. "Design challenges encountered in a propulsion controlled aircraft flight test program," 30th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, Indianapolis, IN, Jun. 27-29, 1994.
3. Edwards, C., Lombaerts, T., and Smaili, H., "Fault Tolerant Flight Control: A Benchmark Challenge," Lecture Notes in Control and Information Sciences, Vol. 399, DOI: 10.1007/978-3-642-11690-2-1, 2010.
4. Goupil, P., "AIRBUS state of the Art and Practices on FDI and FTC in Flight Control System," Control Engineering Practice, Vol. 19, issue 6, pp. 524-539, 2011.
5. Bureau d'Enquêtes et d'Analyses pour la sécurité de l'aviation civile, "Interim report no. 3: on the accident on 1 June 2009 to the Airbus A330-203 registered F-GZCP operated by Air France flight AF 447 Rio de Janeiro-Paris," Report, Jul. 29, 2011.
6. J. Levine, X-31 's loss. NASA X-Press, Available: http://www.nasa.gov/ centers/dryden/news/X- Press/stories/2004/013004/new-x31.html. 2004.
7. J.T. McKenna, "Blocked Static Ports Eyed in Aeroperu 757 Crash," Aviation Week and Space Technology, Vol. 145, no. 20, pp. 76, 1996.
8. Napolitano, M.R., An, Y., and Seanor, B., "A fault tolerant flight control system for sensor and actuator failures using neural networks," Aircraft Design, Vol. 3, issue 2, pp. 103-128, 2000.
9. G. Campa, M.L. Fravolini, B. Seanor, M.R. Napolitano, D. Del Gobbo, G. Yu, S. Gururajan, "On-Line Learning Neural Networks for Sensor Validation for the Flight Control System of a B777 Research Scale Model," International Journal of Robust and Nonlinear Control, vol. 12, no. 11, pp. 987-1007, 2002.
10. M.G. Perhinschi, M.R. Napolitano, G. Campa, M.L. Fravolini, B. Seanor, "Integration of Sensor and Actuator Failure Detection, Identification, and Accommodation Schemes Within Fault Tolerant Control Laws," Control and Intelligent Systems, vol. 35, no. 4, pp. 309318, 2007.
11. Heredia, G., Ollero, A., Mahtani, R., Bejar, M., Remuss, V., Musial, M., "Detection of Sensor Faults in Autonomous Helicopters," Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 18-22 April 2005. doi: 10.1109/ROBOT.2005.1570444
12. Samy, I., Postlethwaite, I. and Gu, D., "Neural network based sensor validation scheme demonstrated on an unmanned air vehicle (UAV) model," 47th IEEE Conference on Decision and Control, 2008.
13. Neppach, C., Casdorph, V. (1995), "Sensor Failure Detection, Identification and Accommodation in a System Without Sensor Redundancy," AIAA Report No. AIAA-1995-11, AIAA 33rd Aerospace Sciences Meeting and Exhibit, Reno, NV, 9\-12 January 1995.
14. Major McLaren, S., "Velocity Estimate Following Air Data System Failure," Thesis, Air Force Institute of Technology, United States Air Force, 2009. Report No.: AFIT/GAE/ENY/08-M21.
15. Samy, I., Gu, D., "Fault Detection and Flight Data Measurement: Demonstrated on Unmanned Air Vehicles using Neural Networks," Lecture Notes in Control and Information Sciences, Vol. 419, 2011.
16. Fravolini, M. L., Pastorelli, M., Pagnottelli, S., Valigi, P., Gururajan, S., Chao, H., Napolitano, M.R., "Model-Based approaches for the Airspeed Estimation and Fault Monitoring of an Unmanned Aerial Vehicle," 2012 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, Perugia, Italy, September 2012.
17. Napolitano, M.R. "Development of Formation Flight Control Algorithms Using 3 YF-22 Flying Models," AFOSR Final Report, AFOSR Grant F49620-01-1-0373, April 2005.
18. G. Campa, Y.Gu, B. Seanor, M. Napolitano, L. Pollini, M.L. Fravolini, "Design And Flight Testing Of Nonlinear Formation Control Laws," Control Engineering Practice, vol.15, no. 9, pp.1077-1092, 2007.
19. Gururajan, S., Gu, Y., Seanor, B., Prucz, J., Napolitano, M., "Evolution of the Flight Testing Program at West Virginia University in Support of Flight Control Research," 52nd Israel Annual Conference on Aerospace Sciences, Tel Aviv, Israel, Feb 29 \- Mar 1, 2012.
20. Haykin, S., "Neural Networks: A comprehensive Foundation," McMillan College Publishing Company, Inc., 1994.
21. Lu Y., Sundararajan, N., Saratchandran, P., "Analysis of Minimal Radial Basis Function Network Algorithm for Real Time Identification of Nonlinear Dynamic Systems," IEEE Proceedings on Control Theory and Application 2000, vol.4, no 147, pp.476.
22. Fravolini, M. L., Campa, G., Napolitano, M. R., Yongkyu Song, "Minimal Resource Allocating Networks for Aircraft SFDIA," IEEE/ASME International Conference on Advanced Intelligent Mechatronics, July 8-11, 2001, Como, Italy.
23. Campa G., Fravolini M. L., Napolitano M. R., "A Library of Adaptive Neural Networks for Control Purposes," IEEE International Symposium on Computer Aided Control System Design, September 18-20, 2002 Glasgow, Scotland, UK
24. Fravolini M.L., Campa G., Napolitano M.R., La Cava M., "Comparison of Different Growing Radial Basis Functions Algorithms for Control Systems Applications," Proc. of the 2002 American Control Conference, Anchorage AK, May 2002
25. Campa, G., Fravolini, M. L., Napolitano, M. R., "Extended Minimal Resource Allocating Networks for Aircraft SFDIA," ANNIE 2001, Smart Engineering System Design Conference, November 4-7 2001, Rolla, MO, USA.
26. Campa, G., Fravolini, M. L., Napolitano, M. R., Seanor, B., "Neural Networks-Based Sensor Validation for the Flight Control System of a B777 Research Model," American Control Conference 2002, May 8-10, 2002 Anchorage, AK, USA.
27. M.G. Perhinschi, M. R. Napolitano, G. Campa, M.L. Fravolini, "Integration of fault tolerant system for sensor and actuator failures within the WVU NASA F-15 simulator," Proc. AIAA Guidance Nav.Control Conf., 11-13 Aug, Austin, Texas, USA, DOI: 10.2514/6.2003-5644.
28. Nguyen, D., and B. Widrow, "Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights," Proceedings of the International Joint Conference on Neural Networks, Vol. 3, 1990, pp. 21\-26.