Sensor and actuator fault detection in small autonomous helicopters

Mechatronics

Volumn 18, Issue 2, 2008, Pages 90-99

  Heredia, G ^a   Ollero, A ^a   Bejar, M ^b   Mahtani, R ^a  

^a Robotics and Computer Vision Division   (Spain)

^b UNIVERSIDAD PABLO DE OLAVIDE   (Spain)

Author keywords

Actuators; Autonomous helicopters; Fault detection and identification; Sensors; UAV

Indexed keywords

ACCIDENT PREVENTION; COMPUTER SIMULATION; FAULT DETECTION; HELICOPTERS; IDENTIFICATION (CONTROL SYSTEMS); SENSORS;

AUTONOMOUS HELICOPTERS; FAULT DETECTION AND ISOLATION (FDI);

ACTUATORS;

EID: 38749142876     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechatronics.2007.09.007     Document Type: Article

References (23)

1. Venkatasubramanian V., Rengaswamy R., and Kavuri S. A review of process fault detection and diagnosis. Part I: Quantitative model-based methods. Comput Chem Eng 27 (2003) 293-311
2. Gertler J. Fault detection and isolation using parity relations. Contr Eng Pract 5 (1997) 653-661
3. Patton R.J., and Chen J. Observer-based fault detection and isolation: robustness and applications. Contr Eng Pract 5 (1997) 671-682
4. Isermann R. Process fault detection based on modelling and estimation methods - a survey. Automatica 20 4 (1984) 387-404
5. Patton RJ, Uppal FJ, Lopez-Toribio CJ. Soft computing approaches to fault diagnosis for dynamic systems: a survey. In: Proceedings of the fourth IFAC symposium on fault detection supervision and safety for technical processes, vol. 1; 2000. p. 298-311.
6. Isermann R., and Ballé P. Trends in the application of model-based fault detection and diagnosis of technical processes. Contr Eng Pract 5 (1997) 709-719
7. Napolitano M., An Y., and Seanor B. A fault tolerant flight control system for sensor and actuator failures using neural networks. Aircraft Des 3 (2000) 103-128
8. Napolitano M., Windon D., Casanova J., Innocenti M., and Silvestri G. Kalman filters and neural-network schemes for sensor validation in flight control systems. IEEE Trans. Contr Syst Technol 6 (1998) 596-611
9. Napolitano M, An Y, Seanor B, Pispistos S, Martinelli D. Application of a neural sensor validation scheme to actual Boeing B737 flight data. In: Proceedings of the '99 AIAA guidance, navigation and control conference; 1999.
10. Rago C, Prasanth R, Mehra RK, Fortenbaugh R. Failure detection and identification and fault tolerant control using the IMM-KF with applications to the Eagle-Eye UAV. In: Proceedings of the 37th conference on decision and control; 1998.
11. Alessandri A., Caccia M., and Veruggio G. Fault detection of actuator faults in unmanned underwater vehicles. Contr Eng Pract 7 (1999) 357-368
12. Drozeski G, Saha B, Vachtsevanos G. A fault tolerant architecture for unmanned rotorcraft. In: Proceedings of the AHS international specialists' meeting on unmanned rotorcraft; 2005.
13. Drozeski G, Saha B, Vachtsevanos G. A fault detection and reconfigurable control architecture for unmanned aerial vehicles. In: Proceedings of the IEEE aerospace conference; 2005.
14. Heredia G, Ollero A, Mahtani R, Béjar M, RemuB V, Musial M. Detection of sensor faults in autonomous helicopters. In: Proceedings of the international conference on robotics and automation; 2005. p. 2241-6.
15. Heredia G, RemuB V, Ollero A, Mahtani R, Musial M. Actuator fault detection in autonomous helicopters (2004). In: Proceedings of the fifth IFAC/EURON Symposium on intelligent autonomous vehicles (IAV); 2004.
16. Ollero A., and Merino L. Control and perception techniques for aerial robotics. Annu Rev Contr 28 (2004) 167-178
17. Remuss V, Musial M, Hommel G. MARVIN - an autonomous flying robot-bases on mass market. In: 2002 IEEE/RSJ international conference on intelligent robots and systems - IROS 2002. Proceedings of the workshop WS6 aerial robotics; 2002. p. 23-8.
18. Saripalli S., Naffin D., and Sukhatme G. Autonomous flying vehicle research at the University of Southern California. In: Schultz A., and Parker L.E. (Eds). Multi-robot systems: from swarms to intelligent automata. Proceedings of the first international workshop on multi-robot systems (2002), Kluwer Academic Publishers 73-82
19. Enns R., and Si J. Helicopter flight-control reconfiguration for main rotor actuator failures. J Guid Contr Dynam 26 4 (2003) 572-584
20. Patton RJ. Fault-tolerant control systems: the 1997 situation. In: IFAC symposium on fault detection supervision and safety for technical processes, vol. 3; 1997. p. 1033-54.
21. Ljung L. System identification - theory for the user. 2nd ed. (1999), Prentice-Hall, Upper Saddle River, NJ
22. Kim S., and Tilbury D. Mathematical modelling and experimental identification of a model helicopter. J Robot Syst 21 3 (2004) 95-116
23. Frank P., and Wunnenberg J. State estimation schemes for instrument fault detection. In: Frank P., and Patton R. (Eds). Fault diagnosis in dynamic systems - theory and applications (1989), Prentice Hall, London, UK 21-45