Immunity-Based Framework for Autonomous Flight in GNSS-Denied Environment
(*) Corresponding author
A framework based on the artificial immune system (AIS) paradigm is proposed in this paper for correcting position and velocity estimations for autonomous flight vehicles in environments where global navigation satellite systems (GNSS) are not available. The AIS consists of sets of memory cells built under normal conditions when all sensor systems function properly. The memory cells mimic the functionality of memory T-cells and B-cell capable of encoding and storing information about the invading antigens and the needed antibodies. This information is used to enhance the response of the innate immune system with an adaptive component that is expected to accelerate and intensify the immune response when subsequent infections with the same antigen are experienced. The artificial memory cells are constructed with two parts. One represents the antigen and is a collection of instantaneous measurements of relevant features that characterize the dynamics of the system and are the basis of the position and velocity estimation. The other represents the antibodies and is a set of instantaneous estimation errors that are viewed as necessary corrections for the estimation. During GNSS-denied operation, the current measured features are matched against the AIS antigens and the corresponding corrections are extracted and used to tune the outputs of the position and velocity estimation algorithm for feedback control. The functionality of the proposed methodology and its promising potential is successfully illustrated using the West Virginia University unmanned aerial system simulation environment.
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National Research Council, Autonomy research for civil Aviation: toward a new era of flight (Aeronautics and Space Eng. Board, Washington, DC, National Academic Press, 2014).
R. Siegwart, I. R. Nourbakhsh, D. Scaramuzza, Introduction to autonomous mobile robots (MIT press, 2011).
B. K. Wilburn, M. G. Perhinschi, H. Moncayo, O. Karas, J. N. Wilburn, Unmanned aerial vehicle trajectory tracking algorithm comparison. International Journal of Intelligent Unmanned Systems, 1, (2013), 276-302.
A. Tsourdos, B. White, M. Shanmugavel, Cooperative path planning of unmanned aerial vehicles (John Wiley & Sons, 2010).
B. W. Parkinson, J. J. Spilker, P. Axelrad, P. Enge, Global positioning system: theory and applications (AIAA, Progress in Astronautics and Aeronautics, Washington DC, 1996).
C. Jeffrey, An introduction to GNSS: GPS, GLONASS, GALILEO and other global navigation satellite systems (NovAtel Inc, 2010).
R. Blockley, Unmanned aircraft systems (John Wiley & Sons, 2017).
Office of the Secretary of Defense, Unmanned systems integrated roadmap: 2013-2038 (Office of the Secretary of Defense. Washington, DC, USA, 2014).
M. T. DeGarmo, Issues concerning integration of unmanned aerial vehicles in civil airspace (Center for Advanced Aviation System Development 2004, 4).
T. L. Fossen, K. Y. Pettersen, H. Nijmeijer, Sensing and control for autonomous vehicles: applications to land, water and air vehicles (Springer International Publishing AG, 2017).
D. P. Shepard, J. A. Bhatti, T. E. Humphreys, A. A. Fansler, Evaluation of smart grid and civilian UAV vulnerability to GPS spoofing attacks, Proceedings of the ION GNSS Meeting, pp 3591-3605 (2012).
M. B. Higgins, Heighting with gps: possibilities and limitations, Proceedings of: Geodesy and Surveying in the Future: The Importance of Heights, Jubilee Seminar, pp 15-17, (1999).
G. Balamurugan, J. Valarmathi, V. Naidu, Survey on UAV navigation in GPS denied environments, Int. Conf. on Signal Proc., Comm., Power and Embedded Syst., pp 198-204, (2016).
Y. Watanabe, P. Fabiani, G. Le Besnerais, Simultaneous visual target tracking and navigation in a GPS-denied environment, Int. Conf. on Advanced Robotics, pp 1-6, (2009).
A. D. Wu, Vision-based navigation and mapping for flight in GPS-denied environments, PhD Dissertation, Georgia Institute of Technology, Atlanta, Georgia, 2010.
J. Haverinen, A. Kemppainen, Global indoor self-localization based on the ambient magnetic field, Robotics and Autonomous Systems, 57, (2009), 1028-1035.
M. Mukhina, G. Babeniuk, Analysis of informativity of anomalous geomagnetic field databases for aided UAV navigation, IEEE 4th International Conference on Actual Problems of Unmanned Aerial Vehicles Developments (2017).
Y. Qu, Y. Zhang, Cooperative localization against GPS signal loss in multiple UAVs flight, Journal of Systems Engineering and Electronics, 22, (2011), 103-112.
V. O. Sivaneri, J. N. Gross, UGV-to-UAV cooperative ranging for robust navigation in GNSS-challenged environments, Aerospace Science and Technology, 71 (2017), 245-255.
M. G. Perhinschi, H. Moncayo, J. Davis, Integrated framework for artificial immunity-based aircraft failure detection, identification, and evaluation, Journal of Aircraft, 47, (2010), 1847-1859.
M. G. Perhinschi, H. Moncayo D. Al Azzawi, Integrated immunity-based framework for aircraft abnormal conditions management, Journal of Aircraft, 51, (2014), 1726-1739.
A. Togayev, M. G. Perhinschi, H. Moncayo D. Al Azzawi, A. Perez, Immunity-based accommodation of aircraft subsystem failures, Aircraft Engineering and Aerospace Technology, 89, (2017), 164-175.
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, 118, (2014), 775-796.
S. Sanchez, M. G. Perhinschi, H. Moncayo, M. Napolitano, J. Davis, M. Fravolini, In-flight actuator failure detection and identification for a reduced size UAV using the artificial immune system approach, AIAA Guidance, Navigation, and Control Conference, pp 62-66, (2009).
S. Ozcelik, S. Sukumaran, Implementation of an artificial immune system on a mobile robot, Procedia Computer Science, 6, (2011), 317-322.
E. Atkins, A. Ollero, A. Tsourdos, (editors), Unmanned Aircraft Systems (John Wiley & Sons, 2016).
D. Dasgupta, Artficial immune systems and their applications (Springer, Berlin, London, 1999).
E. Benjamini, G. Sunshine, R. Coico, Immunology: A short course, 4th ed. (Wiley-Liss, New York, Chichester, 2000).
C. Molnar, J. Gair, Concepts of Biology.
https://opentextbc.ca/biology/chapter/23-2-adaptive-immune-response/ (access June 2018)
B. Etkin, Dynamics of atmospheric flight (Dover Publications, New York, 2005).
M. G. Perhinschi, B. Wilburn, J. Wilburn, J.; H. Moncayo, O. Karas, Simulation environment for UAV fault tolerant autonomous control laws development, J. Model. Simul. Ident. Control, 1, (2013), 164-195.
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