Situational Awareness and Decision-Making for Distressed Aircraft

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Published Mar 26, 2021
Israel Lopez Nesrin Sarigul-Klijn

Abstract

Situational awareness and decision-making are necessary to identify and select the optimal set of mutually non-exclusive hypothesis in order to maximize mission success by adapting system behavior accordingly. This paper presents a hierarchical and decentralized approach for integrated damage assessment and trajectory re-planning in aircraft with uncertainties in navigational decision-making. Aircraft navigation can be safely accomplished by properly addressing the following: decision-making, obstacle perception, aircraft state estimation, and aircraft control. When in- flight failures or damage occur resulting in an emergency, rapid and precise decision-making under imprecise information is required in order to regain and maintain control of the aircraft. In order to fly the pre-planned aircraft trajectory and complete safe landing, the uncertainties in system dynamics of the damaged aircraft need to be estimated and incorporated at the level of motion re-planning. The damaged aircraft is simulated via a simplified kinematic model. The different sources and perspectives of uncertainties in the damage assessment process and post-failure trajectory re-planning are presented. The decision-making process is developed via the Dempster-Shafer evidence theory. The objective of the trajectory re-planning is to arrive at a target position while maximizing the safety of the aircraft given uncertain conditions. Simulations are presented for an emergency motion planning and landing that takes into account aircraft dynamics, path complexity, distance to landing site, runway characteristics, and subjective human decision

How to Cite

Lopez, . I. ., & Sarigul-Klijn, N. . (2021). Situational Awareness and Decision-Making for Distressed Aircraft. Annual Conference of the PHM Society, 1(1). Retrieved from https://papers.phmsociety.org/index.php/phmconf/article/view/1654
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Keywords

artificial intelligence, diagnostic algorithm, fault adaptive controls, applications: aviation

References
(Chitsaz and LaValle, 2007) H. Chitsaz, S. M. LaValle, Time-optimal paths for a Dubins airplane, in Decision and Control, 46th IEEE Conference on, pp. 2379-2384, 2007.
(Fahroo and Doma, 2004) F. Fahroo, D. Doma, A Direct Method for Approach and Landing Trajectory Reshaping with Failure Effect Estimation, in AIAA Guidance, Navigation, and Control Conference and Exhibit, Providence, Rhode Island, 2004.
(Hwangbo et al, 2007) M. Hwangbo, J. Kuffner, T. Kanade, Efficient Two-phase 3D Motion Planning for Small Fixed-wing UAVs, in Robotics and Automation, 2007 IEEE International Conference, vol., no., pp.1035-1041, 10-14.
(Jian and Kun, 2008) W. Jian, L. Kun, Multi-Sensor Data Fusion Based on Fault Detection and Feedback for Integrated Navigation Systems, in Intelligent Information Technology Application Workshops International Symposium, pp. 232-235, 2008.
(Lopez and Sarigul-Klijn, 2008) I. Lopez, N. Sarigul- Klijn, System Identification and Damage Assessment
of Deteriorating Hysteretic Structures, in 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials, Chicago, IL, 2008.
(Lopez and Sarigul-Klijn, 2009) I. Lopez, N. Sarigul-Klijn, Distance Similarity Matrix Using Ensemble of Dimensional Data Reduction Techniques: Vibration and Aeroacoustic case studies, in Journal of Mechanical Systems and Signal Processing, Vol. 23, Issue 7, pp. 2287- 2300, 2009.
(Nguyen et al, 2006) N. Nguyen, K. Krishnakumar, J. Kaneshige, P . Nespeca, Dynamics and Adaptive Control for Stability Recovery of Damaged Asymmetric Aircraft. in: AIAA Guidance, Navigation, and Control Conference and Exhibit Keystone, Colorado, 2006.
(Passino, 2005) K. M. Passino, Biomimicry for Optimization, Control, and Automation: Springer, 2005.
(Sarfraz and Khan, 2002) M. Sarfraz, M. N. Khan, Automatic Outline Capture of Arabic Fonts," Information Sciences, vol. 140, pp. 269-281, 2002.
(Sarigul-Klijn et al, 2008) N. Sarigul-Klijn, P. Nespeca, T. Marchelli, M. Sarigul-Klijn, An Approach to Predict Flight Dynamics and Stability Derivatives of Distressed Aircraft. in AIAA Atmospheric Flight Mechanics Conference and Exhibit, Honolulu, HI, 2008.
(Shafer, 1976) G. Shafer, A Mathematical Theory of Evidence. Princeton Univ. Press, 1976.
(Wang et al, 2008) H. Wang, Y. Chen, P. Soueres, An Efficient Algorithm Involving the Canonical Switching Structure to Compute Minimum- length Trajectories for a Car, Submitted to IEEE Transactions on Robotics, 2008.
Section
Technical Papers