scholarly journals Robust Aircraft Trajectory Planning Under Wind Uncertainty Using Optimal Control

2018 ◽  
Vol 41 (3) ◽  
pp. 673-688 ◽  
Author(s):  
Daniel González-Arribas ◽  
Manuel Soler ◽  
Manuel Sanjurjo-Rivo
Keyword(s):  
Optimal Control ◽  
Trajectory Planning ◽  
Aircraft Trajectory

scholarly journals Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms

2019 ◽  
Vol 89 ◽  
pp. 445-459 ◽  
Author(s):  
Daniel González-Arribas ◽  
Manuel Soler ◽  
Manuel Sanjurjo-Rivo ◽  
Maryam Kamgarpour ◽  
Juan Simarro
Keyword(s):  
Optimal Control ◽  
Trajectory Planning ◽  
Aircraft Trajectory

scholarly journals Optimal Aircraft Trajectory Planning in the Presence of Stochastic Convective Weather Cells

2017 ◽  
Author(s):  
Daniel González-Arribas ◽  
Daniel Hentzen ◽  
Manuel Sanjurjo-Rivo ◽  
Manuel Soler ◽  
Maryam Kamgarpour
Keyword(s):  
Trajectory Planning ◽  
Aircraft Trajectory ◽  
Convective Weather

Trajectory Planning for Concrete Element Fabrication with Optimal Control

2021 ◽  
Author(s):  
Boris Blagojevic ◽  
Benjamin Schonemann ◽  
David Nigl ◽  
Lucio Blandini ◽  
Oliver Sawodny
Keyword(s):  
Optimal Control ◽  
Trajectory Planning ◽  
Concrete Element

Decision-Making Under Model Uncertainty of Damaged Aircraft Systems

2009 ◽  
Author(s):  
Israel Lopez ◽  
Nesrin Sarigul-Klijn
Keyword(s):  
Decision Making ◽  
Motion Planning ◽  
Trajectory Planning ◽  
Evidence Theory ◽  
Target Position ◽  
Landing Site ◽  
Assessment Process ◽  
Diagnosis And Prognosis ◽  
Human Decision ◽  
Aircraft Trajectory

When in-flight failures 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 landing safely, the uncertainties in vehicle parameters of the damaged aircraft need to be learned and incorporated at the level of motion planning. Uncertainty is a very important concern in recovery of damaged aircraft since it can cause false diagnosis and prognosis that may lead to further performance degradation and mission failure. The mathematical and statistical approaches to analyzing uncertainty are first presented. The damaged aircraft is simulated via a simplified kinematics model. The different sources and perspectives of uncertainties under a damage assessment process and post-failure trajectory planning are presented and classified. The decision-making process for an emergency motion planning to landing site 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 under 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.

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