Abstract
Situational awareness and learning are necessary to identify and select the optimal set of mutually non-exclusive hypothesis in order to maximize mission performance and adapt system behavior accordingly. This paper presents a hierarchical and decentralized approach for integrated damage assessment and trajectory planning in aircraft with uncertain 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, rapid and precise decision-making under imprecise information is required in order to regain and maintain control of the aircraft. To achieve planned aircraft trajectory and complete safe landing, the uncertainties in system dynamics of the damaged aircraft need to be learned and incorporated at the level of motion 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 planning are presented and classified. The decision-making process for an emergency motion planning and landing is developed via the Dempster-Shafer evidence theory. The objective of the trajectory 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.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Basir, O., Yuan, X.: Engine Fault Diagnosis Based on Multi-sensor Information Fusion using Dempster-Shafer Evidence Theory. Information Fusion 8, 379–386 (2007)
Chitsaz, H., LaValle, S.M.: Time-optimal Paths for a Dubins Airplane. In: 46th IEEE Conference on Decision and Control, pp. 2379–2384 (2007)
Fahroo, F., Doman, D.: 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, M., Kuffner, J., Kanade, T.: Efficient Two-phase 3D Motion Planning for Small Fixed-wing UAVs. In: IEEE International Conference on Robotics and Automation (2007)
Huifang, W., Yangzhou, C., Soueres, P.: A Geometric Algorithm to Compute Time-Optimal Trajectories for a Bidirectional Steered Robot. IEEE Transactions on Robotics 25, 399–413 (2009)
Lopez, I., Sarigul-Klijn, N.: System Identification and Damage Assessment of Deteriorating Hysteretic Structures. In: 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials (2008)
Lopez, I., Sarigul-Klijn, N.: Distance Similarity Matrix Using Ensemble of Dimensional Data Reduction Techniques: Vibration and Aerocoustic Case Studies. Mechanical Systems and Signal Processing 23, 2287–2300 (2009)
Nguyen, N., Krishnakumar, K., Kaneshige, J., Nespeca, P.: Dynamics and Adaptive Control for Stability Recovery of Damaged Asymmetric Aircraft. In: AIAA Guidance, Navigation, and Control Conference and Exhibit, Keystone, Colorado (2006)
Passino, K.M.: Biomimicry for Optimization, Control, and Automation. Springer, Heidelberg (2005)
Sarfraz, M., Khan, M.N.: Automatic Outline Capture of Arabic Fonts. Information Sciences 140, 269–281 (2002)
Sarigul-Klijn, N., Nespeca, P., Marchelli, T., Sarigul-Klijn, M.: An Approach to Predict Flight Dynamics and Stability Derivatives of Distressed Aircraft. In: AIAA Atmospheric Flight Mechanics Conference and Exhibit, Honolulu, HI (2008)
Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, Princeton (1976)
Wu, P., Clothier, R., Campbell, D., Walker, R.: Fuzzy Multi-Objective Mission Flight Planning in Unmanned Aerial Systems. In: IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, pp. 2–9 (2007)
Zhang, Y., Jiang, J.: Bibliographical Review on Reconfigurable Fault-Tolerant Control Systems. Annual Reviews in Control 32, 229–252 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lopez, I., Sarigul-Klijn, N. (2009). Intelligent Aircraft Damage Assessment, Trajectory Planning, and Decision-Making under Uncertainty. In: Aguirre, A.H., Borja, R.M., Garciá, C.A.R. (eds) MICAI 2009: Advances in Artificial Intelligence. MICAI 2009. Lecture Notes in Computer Science(), vol 5845. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05258-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-05258-3_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05257-6
Online ISBN: 978-3-642-05258-3
eBook Packages: Computer ScienceComputer Science (R0)