Detection and identification of loss of efficiency faults of flight actuators

Daniel Ossmann; Andreas Varga

International Journal of Applied Mathematics and Computer Science (2015)

  • Volume: 25, Issue: 1, page 53-63
  • ISSN: 1641-876X

Abstract

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We propose linear parameter-varying (LPV) model-based approaches to the synthesis of robust fault detection and diagnosis (FDD) systems for loss of efficiency (LOE) faults of flight actuators. The proposed methods are applicable to several types of parametric (or multiplicative) LOE faults such as actuator disconnection, surface damage, actuator power loss or stall loads. For the detection of these parametric faults, advanced LPV-model detection techniques are proposed, which implicitly provide fault identification information. Fast detection of intermittent stall loads (seen as nuisances, rather than faults) is important in enhancing the performance of various fault detection schemes dealing with large input signals. For this case, a dedicated fast identification algorithm is devised. The developed FDD systems are tested on a nonlinear actuator model which is implemented in a full nonlinear aircraft simulation model. This enables the validation of the FDD system's detection and identification characteristics under realistic conditions.

How to cite

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Daniel Ossmann, and Andreas Varga. "Detection and identification of loss of efficiency faults of flight actuators." International Journal of Applied Mathematics and Computer Science 25.1 (2015): 53-63. <http://eudml.org/doc/270418>.

@article{DanielOssmann2015,
abstract = {We propose linear parameter-varying (LPV) model-based approaches to the synthesis of robust fault detection and diagnosis (FDD) systems for loss of efficiency (LOE) faults of flight actuators. The proposed methods are applicable to several types of parametric (or multiplicative) LOE faults such as actuator disconnection, surface damage, actuator power loss or stall loads. For the detection of these parametric faults, advanced LPV-model detection techniques are proposed, which implicitly provide fault identification information. Fast detection of intermittent stall loads (seen as nuisances, rather than faults) is important in enhancing the performance of various fault detection schemes dealing with large input signals. For this case, a dedicated fast identification algorithm is devised. The developed FDD systems are tested on a nonlinear actuator model which is implemented in a full nonlinear aircraft simulation model. This enables the validation of the FDD system's detection and identification characteristics under realistic conditions.},
author = {Daniel Ossmann, Andreas Varga},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {aerospace engineering; fault detection and diagnosis; loss of efficiency type of faults; flight actuator faults},
language = {eng},
number = {1},
pages = {53-63},
title = {Detection and identification of loss of efficiency faults of flight actuators},
url = {http://eudml.org/doc/270418},
volume = {25},
year = {2015},
}

TY - JOUR
AU - Daniel Ossmann
AU - Andreas Varga
TI - Detection and identification of loss of efficiency faults of flight actuators
JO - International Journal of Applied Mathematics and Computer Science
PY - 2015
VL - 25
IS - 1
SP - 53
EP - 63
AB - We propose linear parameter-varying (LPV) model-based approaches to the synthesis of robust fault detection and diagnosis (FDD) systems for loss of efficiency (LOE) faults of flight actuators. The proposed methods are applicable to several types of parametric (or multiplicative) LOE faults such as actuator disconnection, surface damage, actuator power loss or stall loads. For the detection of these parametric faults, advanced LPV-model detection techniques are proposed, which implicitly provide fault identification information. Fast detection of intermittent stall loads (seen as nuisances, rather than faults) is important in enhancing the performance of various fault detection schemes dealing with large input signals. For this case, a dedicated fast identification algorithm is devised. The developed FDD systems are tested on a nonlinear actuator model which is implemented in a full nonlinear aircraft simulation model. This enables the validation of the FDD system's detection and identification characteristics under realistic conditions.
LA - eng
KW - aerospace engineering; fault detection and diagnosis; loss of efficiency type of faults; flight actuator faults
UR - http://eudml.org/doc/270418
ER -

References

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  7. Marton, L. and Ossmann, D. (2012). Energetic approach for control surface disconnection fault detection in hydraulic aircraft actuators, 8th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Mexico City, Mexico, pp. 1149-1154. 
  8. Narendra, K.S. and Balakrishnan, J. (1997). Adaptive control using multiple models, IEEE Transactions on Automatic Control 42(2): 171-187. Zbl0869.93025
  9. Ossmann, D. (2014a). Fault Detection, Isolation and Identification in Electro-hydraulic Actuators of Modern Aircaft, Ph.D. thesis, Technical University of Munich, Munich. 
  10. Ossmann, D. (2014b). Optimization based tuning of fault detection and diagnosis systems for safety critical systems, 19th IFAC World Congress, Cape Town, South Africa, pp. 8570-8575. 
  11. Ossmann, D. and Varga, A. (2013). Progress in Flight Dynamics, Guidance, Navigation, Control, Fault Detection, and Avionics, Torus Press, Moscow, pp. 263-281. 
  12. Varga, A. (2009). Least order fault and model detection using multi-models, Conference on Decision and Control, Shanghai, China, pp. 1015-1019. 
  13. Varga, A., Hecker, S. and Ossmann, D. (2011). Diagnosis of actuator faults using LPV-gain scheduling techniques, AIAA Guidance, Navigation, and Control Conference, Portland, OR, USA. 
  14. Varga, A. and Ossmann, D. (2014). LPV-techniques based robust diagnosis of flight actuator faults, Control Engineering Practice 31: 135-147. 
  15. Varga, A., Ossmann, D., Goupil, P. and Sabot, G. (2013). Verification and validation of a FDD system for identification of flight actuator jamming, 19th IFAC Symposium on Automatic Control in Aerospace, Wuerzburg, Germany, pp. 84-89. 

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