Skip to main content

Fault Detection and Diagnosis for Aeronautic and Aerospace Missions

  • Chapter
Fault Tolerant Flight Control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 399))

Introduction

The term Fault Detection and Diagnosis (FDD) is a development of the term Fault Detection and Isolation (FDI). Generally speaking, FDD goes slightly further than FDI by including the possibility of estimating the effect of the fault and/or diagnosing the effect or severity of the fault. Hence, the term FDD also covers the capability of isolating or locating a fault. Both of these topics have received considerable attention worldwide and have been theoretically and experimentally investigated with different types of approaches, as can be seen from the general survey works [1, 2, 3, 4, 5, 6, 7].

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Patton, R.J., Frank, P.M., Clark, R.N.: Fault Diagnosis in Dynamic Systems, Theory and Application. Control Engineering Series. Prentice Hall, New York (1989)

    Google Scholar 

  2. Gertler, J.: Fault Detection and Diagnosis in Engineering Systems. Marcel Dekker, New York (1998)

    Google Scholar 

  3. Chen, J., Patton, R.J.: Robust Model-Based Fault Diagnosis for Dynamic Systems. Kluwer Academic Publishers, Dordrecht (1999)

    MATH  Google Scholar 

  4. Patton, R.J., Frank, P.M., Clark, R.N.: Advances in Fault Diagnosis for Dynamic Systems. Springer, London (2000)

    Google Scholar 

  5. Simani, S., Fantuzzi, C., Patton, R.J.: Model-based fault diagnosis in dynamic systems using identification techniques. In: Advances in Industrial Control, 1st edn. Springer, London (November 2003)

    Google Scholar 

  6. Isermann, R.: Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance, 1st edn. Springer, Heidelberg (November 28, 2005)

    Google Scholar 

  7. Ding, S.X.: Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools, 1st edn. Springer, Heidelberg (April 10, 2008)

    Google Scholar 

  8. Isermann, R., Ballé, P.: Trends in the application of model-based fault detection and diagnosis of technical processes. Control Engineering Practice 5(5), 709–719 (1997)

    Article  Google Scholar 

  9. Patton, R.J.: Fault detection and diagnosis in aerospace systems using analytical redundancy. Computing & Control Engineering Journal 2(3), 127–136 (1991)

    Article  MathSciNet  Google Scholar 

  10. Labarrère, M., Patton, R.J.: Detection of sensor failures. In: Pelegrin, M., Hollister, W.M. (eds.) Concise Encyclopedia of Aeoronautics and Space Systems, vol. 2, pp. 101–110. Pergamon Press, Oxford (1993)

    Google Scholar 

  11. Marcos, A., Ganguli, S., Balas, G.J.: An application of \(\mathcal{H}_{\infty}\) fault detection and isolation to a transport aircraft. Control Engineering Practice 13, 105–119 (2005)

    Article  Google Scholar 

  12. Amato, F., Cosentino, C., Mattei, M., Paviglianiti, G.: A direct/functional redundancy scheme for fault detection and isolation on an aircraft. Aerospace Science and Technology 10, 338–345 (2006)

    Article  Google Scholar 

  13. Frank, P.M.: On-line fault detection in uncertain non-linear systems using diagnostic observers - a survey. International Journal of Systems and Science 25, 2129–2154 (1994)

    Article  MATH  Google Scholar 

  14. Chen, J., Patton, R.J.: Observer-based fault detection and isolation: robustness and applications. Control Engineering Practice 5, 671–682 (1997)

    Article  Google Scholar 

  15. Basseville, M., Nikiforov, I.V.: Detection of Abrupt Changes: Theory and Application. Prentice-Hall Inc., Englewood Cliffs (1993)

    Google Scholar 

  16. Chen, J., Patton, R.J.: Optimal filtering and robust fault diagnosis of stochastic systems with unknown disturbances. IEE Proceedings on Control Theory & Applications 143(1), 31–36 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  17. Gertler, J.: Survey of model-based failure detection and isolation in complex plants. IEEE Control System Magazine 8, 3–11 (1988)

    Article  Google Scholar 

  18. Patton, R.J., Chen, J.: A review of parity space approaches to fault diagnosis for aerospace systems. AIAA Journal of Guidance, Control & Dynamics 17, 278–285 (1994)

    Article  MATH  Google Scholar 

  19. Chen, J., Patton, R.J., Zhang, H.Y.: Design of unknown input observers and robust fault detection filters. International Journal of Control 63, 85–105 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  20. Isermann, R.: Supervision, Fault Detection and Fault Diagnosis Methods - An Introduction. Control Eng. Practice 5(5), 639–652 (1997)

    Article  Google Scholar 

  21. Patton, R.J.: Robust fault detection using eigenstructure assignment. In: Proc. 12th IMACS World Congress on Scientific Computation, pp. 431–434 (1988)

    Google Scholar 

  22. Patton, R.J., Chen, J.: On eigenstructure assignment for robust fault diagnosis. Int. J. of Robust & Nonlinear Control - Special Issue on Fault Detection and Isolation 10 (2000)

    Google Scholar 

  23. Liu, G.P., Patton, R.J.: Eigenstructure Assignment for Control System Design. John Wiley and Sons Ltd., Chichester (1998)

    Google Scholar 

  24. Patton, R.J., Chen, J.: Robust fault detection of jet engine sensor systems using eigenstructure assignment. AIAA Journal of Guidance, Control & Dynamics 15, 1491–1497 (1992)

    Article  Google Scholar 

  25. Massoumnia, M.A.: A geometric appoach to failure detection and identification in linear systems. PhD thesis, Massachusetts Institute of Technology, Massachusetts, USA (1986)

    Google Scholar 

  26. Hammouri, H., Kinnaert, M., El Yaagoubi, E.: Observer–based approach to fault detection and isolation for nonlinear systems. IEEE Transactions on Automatic Control 44, 1879–1884 (1879)

    Article  Google Scholar 

  27. De Persis, C., Isidori, A.: A geometric approach to non–linear fault detection and isolation. IEEE Transactions on Automatic Control 45, 853–865 (2001)

    Article  Google Scholar 

  28. Kaboré, P., Othman, S., McKenna, T., Hammouri, H.: An observer-based fault diagnosis for a class of nonlinear systems – application to a free radical copolymerization reaction. International Journal of Control 73, 787–803 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  29. Kaboré, P., Wang, H.: Design of fault diagnosis filters and fault tolerant control for a class of nonlinear systems. IEEE Trans. on Automatic Control 46(11), 1805–1810 (2001)

    Article  MATH  Google Scholar 

  30. Pertew, A., Marquez, H., Zhao, Q.: LMI–based sensor fault diagnosis for nonlinear Lipschitz systems. Automatica 43(8), 1464–1469 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  31. Cheng, Q., Varshney, P., Michels, J., Belcastro, C.: Fault detection in dynamic systems via decision fusion. IEEE Trans. on Aerospace and Electronics Systems 44, 227–242 (2008)

    Article  Google Scholar 

  32. Zhang, Q., Campillo, F., Cerou, F., Legland, F.: Nonlinear system fault detection and isolation based on bootstrap particle filters. In: Proc. of 44th IEEE CDC-ECC, Seville, Spain, December 2005, pp. 3821–3826 (2005)

    Google Scholar 

  33. Korbicz, J., Koscielny, J.M., Kowalczuk, Z., Cholewa, W. (eds.): Fault Diagnosis: Models, Artificial Intelligence, Applications, 1st edn. Springer, Heidelberg (February 12, 2004)

    MATH  Google Scholar 

  34. Uppal, F.J., Patton, R.J.: Neuro-fuzzy uncertainty de-coupling: A multiple-model paradigm for fault detection and isolation. Int. Journal of Adaptive Control & Signal Processing (Invited Special Issue Paper) 19, 281–304 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  35. Wang, H., Huang, Z., Daley, S.: On the use of adaptive updating rules for actuator and sensor diagnosis. Automatica 33(2), 217–225 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  36. Chow, E.Y.: Failure detection system design methodology. PhD thesis, Lab. Information and Decision system, University of Cambridge (1980)

    Google Scholar 

  37. Gertler, J.: Survey of model-based failure detection and isolation in complex plants. IEEE Control Systems Magazine (1988)

    Google Scholar 

  38. Patton, R.J., Chen, J.: A review of parity space approaches to fault diagnosis. In: IFAC Symposium Safeprocess 1991, pp. 239–255 (1991)

    Google Scholar 

  39. Chen, J., Zhang, H.Y.: Parity vector approach for detecting failures in dynamic systems. International Journal of Systems and Science 21, 765–770 (1991)

    Article  Google Scholar 

  40. Gertler, J.: Fault detection and isolation using parity relations. Control Eng. Practice 5(5), 653–661 (1997)

    Article  Google Scholar 

  41. Satin, A.L., Gates, R.L.: Evaluation of parity equations for gyro failure detection and isolation. Journal of Guidance and Control 1(1), 14–20 (2005)

    Article  Google Scholar 

  42. Shim, D.S., Yang, C.K.: Geometric fdi based on svd for redundant inertial sensor systems. In: Proceedings of the 5th Asian Control Conference, Melbourne - Australia, vol. 29, pp. 1093–1099 (2004)

    Google Scholar 

  43. Yang, C.K., Shim, D.S.: Double faults isolation based on the reduced-order parity vectors in redundant sensor configuration. International Journal of Control, Automation and Systems 5(2), 155–160 (2007)

    Google Scholar 

  44. Gertler, J., DiPierro, G.: On the relationship between parity relations and parameter estimation. In: Proceedings of SAFEPROCESS 1997, Hull - England, pp. 468–473. IFAC (1997)

    Google Scholar 

  45. Castaldi, P., Geri, W., Bonfè, M., Simani, S., Benini, M.: Design of residual generators and adaptive filters for the fdi of aircraft model sensors. In: Control Engineering Practice, 2009. ACA 2007 – 17th IFAC Symposium on Automatic Control in Aerospace Special Issue. Elsevier Science, Amsterdam (2007)

    Google Scholar 

  46. Benini, M., Bonfè, M., Castaldi, P., Geri, W., Simani, S.: Design and Performance Evaluation of Fault Diagnosis Strategies for a Simulated Aircraft Nonlinear Model. Journal of Control Science and Engineering 2008, 1–18 (2008); Special Issue on Robustness Issues in Fault Diagnosis and Fault Tolerant Control. Hindawi Publishing Corporation

    Article  Google Scholar 

  47. Doucent, A.: On sequential simulation-based methods for Bayesian filtering. Technical report, Cambridge University (1998)

    Google Scholar 

  48. Liu, J., Chen, R.: Sequential montecarlo methods for dynamic systems. Journal of the American Statistical Association 93 (1998)

    Google Scholar 

  49. Pitt, M., Shephard, N.: Filtering via simulation: Auxiliary particle filter. Journal of the American Statistical Association 94 (1999)

    Google Scholar 

  50. Isard, M., Blake, A.: Condensation: conditional density propagation for visual tracking. International Journal of Computer Vision 29(1), 5–28 (1998)

    Article  Google Scholar 

  51. Fox, D., Burgard, W., Thrun, S.: Markov localization for mobile robots in dynamic environments. Journal of Artificial Intelligence 11, 391–427 (1999)

    MATH  Google Scholar 

  52. Thrun, S., Fox, D., Burgard, W.: Montecarlo localization with mixture proposal distribution. In: Proceedings of the AAAI National Conf. on Artificial Intelligence. AAAI, Menlo Park (2000)

    Google Scholar 

  53. Doucet, A., de Freitas, N., Gordon, N. (eds.): Sequential Monte Carlo Methods in Practice. Statistics for Engineering and Information Science. Springer, New York (July 2001)

    MATH  Google Scholar 

  54. DeFreitas, N.: Rao-blackwellised particle filtering for fault diagnosis. Aerospace (2002)

    Google Scholar 

  55. Hutter, F., Dearden, R.: Efficient on-line fault diagnosis for non-linear systems. In: International Symposium on Artificial Intelligence, Robotics and Automation in Space, Nara, Japan, May 19-23 (2003)

    Google Scholar 

  56. Falcoz, A., Henry, D., Zolghadri, A.: A nonlinear fault identification scheme for reusable launch vehicles control surfaces. International Review of Aerospace Engineering (October 2008)

    Google Scholar 

  57. Lavigne, L., Zolghadri, A., Goupil, P., Simon, P.: Robust and early detection of oscillatory failure case for new generation airbus. In: AIAA GNC 2008, Honolulu, Hawaii. AIAA (2008)

    Google Scholar 

  58. Lavigne, L., Zolghadri, A., Goupil, P., Simon, P.: Oscillatory failure case detection for new generation airbus aircraft: a model-based challenge. In: Proceedings of the 47th IEEE Conference on Decision and Control, Cancun, Mexico, pp. 1249–1254. IEEE, Los Alamitos (2008)

    Chapter  Google Scholar 

  59. Norgaard, M., Poulsen, N.K., Ravn, O.: New developments in state estimation for nonlinear systems. Automatica 36, 1627–1638 (2000)

    Article  MathSciNet  Google Scholar 

  60. Patton, R.J., Uppal, F.J., Simani, S., Polle, B.: Robust fdi applied to thuster faults of a satellite system. In: Control Engineering Practice, 2009. ACA 2007 – 17th IFAC Symposium on Automatic Control in Aerospace Special Issue (2007)

    Google Scholar 

  61. Venkateswaran, N., Siva, M., Goel, P.: Analytical redundancy based fault detection of gyroscopes in spacecraft applications. ACTA Astronomica 50(9), 535–545 (2002)

    Article  Google Scholar 

  62. Chen, W., Saif, M.: Observer-based fault diagnosis of satellite systems subject to time-varying thruster faults. Transactions of the ASME 129, 352–356 (2007)

    Google Scholar 

  63. Jacobson, C.A., Nett, C.N.: An integrated approach to control and diagnosis for the minimisation of uncertainties effects on residual generation. IEEE Control Systems Magazine 11(6), 22–29 (1991)

    Article  Google Scholar 

  64. Marcos, A., Balas, G.: A robust integrated controller/diagnosis aircraft application. International Journal of Robust and Nonlinear Control 15, 531–551 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  65. Mangoubi, R.: Robust estimation and failure detection: A concise treatment. Springer, Heidelberg (1998)

    Google Scholar 

  66. Henry, D., Zolghadri, A., Castang, F., Monsion, M.: A new multi-objective filter design for guaranteed robust fdi performance. In: Proceedings of CDC 2001, Orlando, Florida, USA, pp. 173–178 (2001)

    Google Scholar 

  67. Marcos, A., Ganguli, S., Balas, G.: An application of h  ∞  fault detection and isolation to a transport aircraft. Control Engineering Practice 13, 105–119 (2005)

    Article  Google Scholar 

  68. Henry, D., Zolghadri, A.: Design and analysis of robust residual generators for systems under feedback control. Automatica 41, 251–264 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  69. Henry, D., Zolghadri, A.: Design of fault diagnosis filters: A multi-objective approach. Journal of Franklin Institute 342(4), 421–446 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  70. Castro, H.V., Bennani, S., Marcos, A.: Robust filter design for a re-entry vehicle. In: Proceedings of the 7th International Conference on Dynamics and Control of Systems and Structures in Space, Greenwish, UK (2006)

    Google Scholar 

  71. Castro, H.V., Bennani, S., Marcos, A.: Integrated vs decoupled fault detection filter and flight control law designs for a re-entry vehicle. In: Proceedings of the 2006 IEEE International Conference on Control Applications, Munich, Germany (2006)

    Google Scholar 

  72. Henry, D.: Fault diagnosis of the microscope satellite actuators using h  ∞ /h filters. AIAA Journal of Guidance, Control, and Dynamics 31(3), 699–711 (2008)

    Article  Google Scholar 

  73. Henry, D., Zolghadri, A., Castang, F., Monsion, M.: A multiobjective filtering approach for fault diagnosis with guaranteed sensitivity performances. In: Proceedings of the 15th IFAC World Congress, Barcelona, Spain. IFAC (2002)

    Google Scholar 

  74. Henry, D., Zolgahdri, A.: h  ∞ /h − filters for fault diagnosis in systems under feedback control. In: Proceedings of SAFEPROCESS 2003, Washington DC, USA, pp. 87–92. IFAC (2003)

    Google Scholar 

  75. Henry, D., Zolghadri, A.: Norm-based design of robust fdi schemes for uncertain systems under feedback control: Comparison of two approaches. Control Engineering Practice 14(9), 1081–1097 (2006)

    Article  Google Scholar 

  76. Zolghadri, A., Castang, F., Henry, D.: Design of robust fault detection filters for multivariable feedback systems. International Journal of Modelling and Simulation 26(1), 17–26 (2006)

    Article  Google Scholar 

  77. Kerr, M.L., Marcos, A., Penin, L.F., Bornschlegl, E.: Gain-scheduled fdi for a re-entry vehicle. In: AIAA Guidance, Navigation and Control Conferences and Exhibit, Honoluku - Hawaii, AIAA–2008–7266. AIAA (2008)

    Google Scholar 

  78. Hou, M., Patton, R.J.: An LMI approach to H  ∞ /H fault detection observers. In: Proceedings of the UKACC International Conference, CONTROL 1996 (1996)

    Google Scholar 

  79. Hou, M., Patton, R.J.: An H ∞ /H approach to the design of robust fault diagnosis observers based upon LMI optimisation. In: Proceedings of the 4th European Control Conference, ECC 1997, Brussels, July 1–4 (1997)

    Google Scholar 

  80. De Persis, C., De Sanctis, R., Isidori, A.: Nonlinear actuator fault detection and isolation for a VTOL aircraft. In: Proceedings of the American Control Conference, June 2001, pp. 4449–4454 (2001)

    Google Scholar 

  81. De Persis, C., Isidori, A.: On the observability codistributions of a nonlinear system. Systems and Control Letters 40, 297–304 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  82. Bonfè, M., Castaldi, P., Geri, W., Simani, S.: Nonlinear Actuator Fault Detection and Isolation for a General Aviation Aircraft. Space Technology – Space Engineering, Telecommunication, Systems Engineering and Control 27, 107–113 (2007); Special Issue on Automatic Control in Aerospace

    Google Scholar 

  83. Ioannou, P., Sun, J.: Robust Adaptive Control. PTR Prentice–Hall, Upper Saddle River (1996)

    MATH  Google Scholar 

  84. Germani, A., Manes, C., Palumbo, P.: Filtering of Stochastic Nonlinear Differential Systems via a Carleman Approximation Approach. IEEE Transactions on Automatic Control 52, 2166–2172 (2007)

    Article  MathSciNet  Google Scholar 

  85. Stevens, B.L., Lewis, F.L.: Aircraft Control and Simulation, 2nd edn. John Wiley and Son, Chichester (2003)

    Google Scholar 

  86. Bonfè, M., Castaldi, P., Geri, W., Simani, S.: Fault Detection and Isolation for On–Board Sensors of a General Aviation Aircraft. International Journal of Adaptive Control and Signal Processing 20, 381–408 (2006) (Copyright 2006 John Wiley & Sons, Ltd.)

    Article  MathSciNet  Google Scholar 

  87. Bonfè, M., Castaldi, P., Geri, W., Simani, S.: Design and Performance Evaluation of Residual Generators for the FDI of an Aircraft. International Journal of Automation and Computing 4, 156–163 (2007), doi:10.1007/s11633–007–0156–7

    Article  Google Scholar 

  88. Williams, B.C., Nayak, P.P.: A model-based approach to reactive self-configuring systems. In: Proceedings of the 13th National Conf. on Artificial Intelligence and 8th Innovative Applications of Artificial Intelligence Conf., pp. 971–978. AAAI Press/The MIT Press (1996)

    Google Scholar 

  89. Falcoz, A., Henry, D., Zolghadri, A.: Development of a robust model-based fault diagnosis technique for re-entry launch vehicles: A case study. Progress report (2007)

    Google Scholar 

  90. Falcoz, A., Henry, D., Zolghadri, A., Bornschleg, E., Ganet, M.: On-board model-based robust fdir strategy for reusable launch vehicles (rlv). In: 7th International ESA Conference on Guidance, Navigation and Control Systems, County Kerry, Ireland (2008)

    Google Scholar 

  91. Simani, S.: Identification of Residual Generators for Fault Detection and Isolation of a Satellite Simulated Model. In: EUCA, I. (ed.) European Control Conference 2007 – ECC 2007, Kos, Greece, July 2–5, vol. CD–Rom, pp. 2296–2303. EUCA, ICCS, IFAC, ACPA & IEEE CSS (2007)

    Google Scholar 

  92. Patton, R.J., Uppal, F., Simani, S., Polle, B.: A Monte Carlo Analysis and Design for FDI of a Satellite Attitude Control System. In: B. C. Department of Automation, Tsinghua University (ed.) SAFEPROCESS 2006, 6th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, IFAC, Beijing, PR China, August 30 – September 1, vol. CDRom, pp. 1393–1398 (2006)

    Google Scholar 

  93. Patton, R.J., Uppal, F., Simani, S., Polle, B.: Monte–Carlo Reliability and Performance Analysis of Satellite FDI System. In: IFAC (ed.) MECHATRONICS 2006 – 4th IFAC Symposium on Mechatronic Systems, Heidelberg, Germany, September 12-14, vol. CD–Rom, pp. 187–192. VDI VDE, IFAC (2006)

    Google Scholar 

  94. Patton, R.J., Uppal, F., Simani, S., Polle, B.: Robust FDI Applied to Thruster Faults of A Satellite System. In: IFAC (ed.) ACA2007 – 17th IFAC Symposium on Automatic Control in Aerospace, Toulouse, France, June 25–29, vol. CD–Rom, pp. 1–6. IFAC ACA, IFAC (2007)

    Google Scholar 

  95. Patton, R.J., Uppal, F.J., Simani, S., Polle, B.: Reliable fault diagnosis scheme for a spacecraft attitude control system. Journal of Risk and Reliability 222(2), 139–152 (2008); 6th IFAC SAFEPROCESS Special Issue. Professional Engineering Publishing

    Google Scholar 

  96. ESA, ESA – Mars Express – The Spacecraft, tech. rep., ESA – European Space Agency (October 2005), http://www.esa.int/SPECIALS/MarsExpress/

  97. Köenig, D., Patton, R.J.: New design of robust kalman filters for fault detection and isolation. In: Chen, H.-F., Cheng, D.-Z., Zhang, J.-F. (eds.) 14th World Congress of IFAC, Beijing, P.R. China, July 5-9, CD–ROM Paper P–7e–09–6 (1999)

    Google Scholar 

  98. Uppal, F.J., Patton, R.: Neuro–fuzzy uncertainty de–coupling: A multiple–model paradigm for fault detection and isolation. International Journal of Adaptive Control & Signal Processing 19(4), 281–304 (2005); Invited Special Issue Paper

    Article  MATH  MathSciNet  Google Scholar 

  99. Patton, R.J.: Fault-tolerant control: the 1997 situation (survey). In: Proceedings of IFAC Symposium SAFEPROCESS 1997, pp. 1033–1055 (1997)

    Google Scholar 

  100. Chen, J., Patton, R.J., Chen, Z.: Active fault-tolerant flight control systems design using the linear matrix inequality method. Trans. Inst. MC 21, 77–84 (1999)

    Article  Google Scholar 

  101. Blanke, M., Frei, C.W., Kraus, F., Patton, R.J., Staroswiecki, M.: What is fault-tolerant control? In: Proceedings of IFAC Symposium SAFEPROCESS 2000, pp. 40–51 (2000)

    Google Scholar 

  102. Cieslak, J., Henry, D., Zolghadri, A.: A methodoly for the design of active fault tolerant systems. In: Proceedings of SAFEPROCESS 2006, Beijing, China. IFAC (2006)

    Google Scholar 

  103. Cieslak, J., Henry, D., Zolghadri, A., Goupil, P.: Development of an on-board fault tolerant control strategy with application to the Garteur AG16 benchmark. In: Proceedings of the 17th IFAC Symposium on Automatic Control in Aerospace, Toulouse, France (2007)

    Google Scholar 

  104. Cieslak, J., Henry, D., Zolghadri, A.: An active fault tolerant flight control strategy for safe recovery against trimmable horizontal stabilizer failure: a case study. AIAA Journal of Guidance, Control, and Dynamics (2007) (to appear)

    Google Scholar 

  105. Cieslak, J., Henry, D., Zolghadri, A.: Une méthodologie pour la synthèse de systémes de commande tolérants aux défauts, revue électronique e-STA (Sciences et technologies pour l’automatique), vol. 1, pp. 19–26 (2007)

    Google Scholar 

  106. Blanke, M., Kinnaert, M., Lunze, M., Staroswiecki, M.: Diagnosis and fault tolerant control, 2nd edn. Springer, New York (2008)

    Google Scholar 

  107. Bonfè, M., Castaldi, P., Simani, S.: Active Fault Tolerant Control Scheme for a General Aviation Aircraft Model. In: 17th Mediterranean Conference on Control and Automation (Makedonia Palace, Thessaloniki, Greece), Mediterranean Control Association MCA, IEEE Control Systems Society CSS, IEEE Robotics & Automation Society RAS, June 24–26 (2009) (accepted)

    Google Scholar 

  108. Bertozzi, N., Castaldi, P., Bonfè, M., Simani, S., Bertoni, G.: Integrated design of an aircraft guidance system using feedback linearization. In: IFAC Workshop Aerospace Guidance, Navigation and Flight Control Systems – AGNFCS 2009, Samara, RUSSIA, IFAC Technical Committee on Automatic Control in Aerospace, Russian Academy of Sciences (RAS), Samara Scientific Center (SSC), Department of Dynamics and Motion Control, IFAC – International Federation of Automatic Control, June 30 -July 2, pp. 1–6 (2009) (accepted)

    Google Scholar 

  109. Bonfè, M., Castaldi, P., Simani, S.: Fault Diagnosis and Fault Tolerant Control Integrated Designs Applied to a Civil Unmanned Aerial Vehicle (CUAV). In: Faculty of Engineering CTAC, Coventry University Computing (eds.) 20th International Conference on Systems Engineering – ICSE 2009, Coventry, UK, September 2009, Control Theory and Applications Centre, Coventry University, CTAC, Coventry University, in cooperation with Technical University of Wroclaw, Wroclaw, Poland, and the University of Nevada, Las Vegas, USA (2009)

    Google Scholar 

  110. Patton, R.J., Putra, D., Klinkhieo, S.: A fault-tolerant control approach to friction compensation). In: Proceedings of European Control Conference, ECC 2009 (2009); Invited Session on FTC in Mechatronic Systems

    Google Scholar 

  111. Alwi, H., Edwards, C., Tan, C.P.: Sliding mode estimation schemes for incipient sensor faults. Automatica 45(7), 1679–1685 (2009)

    Article  MATH  Google Scholar 

  112. Edwards, C., Spurgeon, S.K.: Sliding Mode Control: Theory and Applications. Taylor & Francis, London (1998)

    Google Scholar 

  113. Edwards, C., Spurgeon, S.K., Patton, R.J.: Sliding mode observers for fault detection. Automatica 36, 541–553 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  114. Hermans, F.J.J., Zarrop, M.B.: Sliding mode observers for robust sensor monitoring. In: Proceedings of the 13th IFAC World Congress, pp. 211–216 (1996)

    Google Scholar 

  115. Jiang, B., Staroswiecki, M., Cocquempot, V.: Fault estimation in nonlinear uncertain systems using robust sliding–mode observers. IEE Proceedings: Control Theory & Applications 151, 29–37 (2004)

    Article  Google Scholar 

  116. Khalil, H.K.: Nonlinear Systems. Prentice Hall, Englewood Cliffs (1992)

    MATH  Google Scholar 

  117. Kim, Y.W., Rizzoni, G., Utkin, V.: Developing a fault tolerant power train system by integrating the design of control and diagnostics. International Journal of Robust and Nonlinear Control 11, 1095–1114 (2001)

    Article  MATH  Google Scholar 

  118. Tan, C.P., Edwards, C.: Sliding mode observers for detection and reconstruction of sensor faults. Automatica, 1815–1821 (2002)

    Google Scholar 

  119. Tan, C.P., Edwards, C.: Sliding mode observers for robust detection and reconstruction of actuator and sensor faults. International Journal of Robust and Nonlinear Control 13, 443–463 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  120. Utkin, V.I.: Sliding Modes in Control Optimization. Springer, Berlin (1992)

    MATH  Google Scholar 

  121. Wu, N.E., Zhang, Y., Zhou, K.: Detection, estimation, and accommodation of loss of control effectiveness. International Journal of Adaptive Control and Signal Processing 14, 775–795 (2000)

    Article  MATH  Google Scholar 

  122. Yang, H., Saif, M.: Fault detection in a class of nonlinear systems via adaptive sliding observer. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp. 2199–2204 (1995)

    Google Scholar 

  123. Zhang, Y., Jiang, J.: Design of integrated fault detection, diagnosis and reconfigurable control systems. In: Proceedings of the IEEE Conference on Decision and Control, pp. 3587–3592 (1999)

    Google Scholar 

  124. Zhang, Y.M., Jiang, J.: Active fault-tolerant control system against partial actuator failures. IEE Proceedings: Control Theory & Applications 149, 95–104 (2002)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Henry, D., Simani, S., Patton, R.J. (2010). Fault Detection and Diagnosis for Aeronautic and Aerospace Missions. In: Edwards, C., Lombaerts, T., Smaili, H. (eds) Fault Tolerant Flight Control. Lecture Notes in Control and Information Sciences, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11690-2_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-11690-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11689-6

  • Online ISBN: 978-3-642-11690-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics