Open Access Open Access  Restricted Access Subscription or Fee Access

Evaluation of Aircraft Sensor Failures Effects Using the Artificial Immune System Paradigm

Mario George Perhinschi(1*), Dia Al Azzawi(2), Hever Moncayo(3), Andres Perez(4)

(1) Department of Mechanical and Aerospace Engineering, West Virginia University, United States
(2) Department of Mechanical and Aerospace Engineering at West Virginia University, United States
(3) Department of Aerospace Engineering at Embry-Riddle Aeronautical University, United States
(4) Department of Aerospace Engineering at Embry-Riddle Aeronautical University, United States
(*) Corresponding author


DOI: https://doi.org/10.15866/irease.v8i2.5658

Abstract


This paper presents the development of simple models for the assessment of flight envelope reduction under aircraft sensor failures within the artificial immune system paradigm. The proposed methodology is expected to facilitate the design of on-board augmentation systems increasing aircraft survivability and improving operation safety. It demonstrates and exploits the capability of the artificial immune system to not only detect and identify aircraft subsystem abnormal conditions but also evaluate their impact and consequences. An artificial immune system built through simulation for a fighter aircraft is used in conjunction with a hierarchical multi-self strategy for estimating ranges of flight envelope relevant variables at post-failure conditions affecting angular rate sensors that are needed within the control augmentation system. Failure-specific algorithms correlated with the characteristics and dimensionality of self projections are developed for roll, pitch, and yaw rate sensors affected by bias. Metrics for the performance evaluation of the proposed approach are defined and used for successful demonstration in a motion-based flight simulator.
Copyright © 2015 Praise Worthy Prize - All rights reserved.

Keywords


Artificial Immune System; Fault Tolerant Control; Sensor Failure Evaluation

Full Text:

PDF


References


L. Tang, M. Roemer, J. Ge, A. Crassidis, A., J.V.R. Prasad, C. Belcastro, Methodologies for Adaptive Flight Envelope Estimation and Protection, Proc. of the AIAA Guidance, Navigation, and Control Conference, Chicago, IL, (2009).
http://dx.doi.org/10.2514/6.2009-6260

Bilal A. Siddiqui, Ayman H. Kassem, Ahmed Z. Al-Garni, Using USAF DATCOM to Predict Nonlinear Aerodynamics of Structurally Impaired Aircraft, (2010) International Review of Aerospace Engineering (IREASE), 3 (2), pp. 125-133.

M. Roemer, L. Tang, S. Bharadwaj, C. Belcastro, An Integrated Aircraft Health Assessment and Fault Contingency Management System, Proc. of the AIAA Guidance, Navigation and Control Conference and Exhibit, Honolulu, Hawaii, (2008).
http://dx.doi.org/10.2514/6.2008-6505

F. Figueroa, J. Schmalzel, M. Walker, M. Venkatesh, R. Kapadia, J. Morris, M. Turowski, H. Smith, Integrated System Health Management: Foundational Concepts, Approach, and Implementation, AIAA Infotech@Aerospace Conference, (2009).
http://dx.doi.org/10.2514/6.2009-1915

C. M. Belcastro, S. R. Jacobson, Future Integrated Systems Concept for Preventing Aircraft Loss-of–Control Accidents, Proc. of the AIAA Guidance, Navigation, and Control Conf., Toronto, Canada, (2010).
http://dx.doi.org/10.2514/6.2010-8142

D. Dasgupta, (editor), Artificial Immune Systems and Their Applications,” (Springer Verlag, 1999).
http://dx.doi.org/10.1007/978-3-642-59901-9

D. Dasgupta, L. F. Nino, Immunological Computation – Theory and Applications, (CRC Press, Auerbach Publications, Taylor & Francis Group, 2009).

M. G. Perhinschi, H. Moncayo, J. Davis, Integrated Framework for Artificial Immunity-Based Aircraft Failure Detection, Identification, and Evaluation, AIAA Journal of Aircraft, Vol. 47, No. 6, (2010), 1847-1859.
http://dx.doi.org/10.2514/1.45718

M. G. Perhinschi, H. Moncayo, D. Al Azzawi, Development of Immunity-Based Framework for Aircraft Abnormal Conditions Detection, Identification, Evaluation, and Accommodation,” Proc. of the AIAA Guidance, Navigation, and Control Conference, Boston, MA, (2013).
http://dx.doi.org/10.2514/6.2013-5184

M. G. Perhinschi H. Moncayo D. Al Azzawi D., Integrated Immunity-Based Framework for Aircraft Abnormal Conditions Management, AIAA Journal of Aircraft, Vol. 51, Iss. 6, (2014) 1726-1739, doi: 10.2514/1.C032381.
http://dx.doi.org/10.2514/1.c032381

H. Moncayo, M. G. Perhinschi, J. Davis, Artificial Immune System – Based Aircraft Failure Evaluation Over Extended Flight Envelope, AIAA Journal of Guidance, Control, and Dynamics, Vol. 34, No. 4, (2011), 989-1001.
http://dx.doi.org/10.2514/1.52748

I. Moguel, H. Moncayo, M. G. Perhinschi, A. E. Perez, D. Al Azzawi, A. Togayev, Bio-Inspired Approach for Aircraft Health Assessment and Flight Envelope Estimation, Proc. of the ASME Annual Dynamic Systems and Control Conference, San Antonio, Texas, (2014).
http://dx.doi.org/10.1115/dscc2014-5885

C. A. Janeway, P. Travers, M. Walport, M. J. Shlomchik, Immunobiology: The Immune System in Health and Disease, 6th ed. (Garland Science, New York, 2005).

H. Moncayo, M. G. Perhinschi, J. Davis, Aircraft Failure Detection and Identification Using an Immunological Hierarchical Multi-self Strategy, AIAA Journal of Guidance, Control, and Dynamics, Vol. 33, No. 4, (2010), pp. 1105-1114.
http://dx.doi.org/10.2514/1.47445

D. Al Azzawi, M. G. Perhinschi, H. Moncayo, Artificial Dendritic Cell Mechanism for Aircraft Immunity-based Failure Detection and Identification, AIAA Journal of Aerospace Information Systems, Vol. 11, No. 7, (2014), doi: 10.2514/1.I010214.
http://dx.doi.org/10.2514/1.i010214

M. G. Perhinschi, H. Moncayo, B. Wilburn, J. Wilburn, O. Karas, A. Bartlett, Neurally Augmented Immunity-Based Detection and Identification of Aircraft Sub-System Failures, The Aeronautical Journal, Vol. 118, No. 1205, (2014), pp. 775-796.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2019 Praise Worthy Prize