Abstract

This paper presents atrajectory optimization-based study for identifying the influencesof different fixed-wing aircraft parameters on perching maneuvers. Perching trajectories, which involve climbing for landing with a near-zero speed, are optimized to minimize the unwanted altitude gain, herewith referred to as undershoot. Undershoot has a complex relationshipnot only with the control inputs, but also with the aircraft geometry and features, such as stability characteristics, controllability, and thrust available. Tofacilitate this parametric study, anaerodynamic modeling tool is developed, which combines a nonlinear vortex correction method with the Leishman's state-space form of Wagner's unsteady model. This tool is used for in-flight aerodynamics evaluation during the optimization of the perching maneuvers. The perching solutions - minimum undershoot and trajectory length - are then computed, andthe effects of key parameters of the maneuver are studied. Itis found that a high aspect ratio, high thrust available, optimal placement of the center of gravity, relaxed terminal velocity constraints, low zero-lift drag, and headwind reduce the spatial requirements for the maneuver. Furthermore, it is confirmed that a high angle-of-attack maneuver is not critical for very low speed perching.

Keywords

Interior point methodMathematicsNonlinear programmingMathematical optimizationQuadratic programmingTrust regionSequential quadratic programmingAlgorithmLinear programmingScale (ratio)Set (abstract data type)Point (geometry)Criss-cross algorithmNonlinear systemQuadratic equationLinear-fractional programmingComputer science

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Publication Info

Year
1999
Type
article
Volume
9
Issue
4
Pages
877-900
Citations
1681
Access
Closed

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Cite This

Richard H. Byrd, Mary E. Hribar, Jorge Nocedal (1999). An Interior Point Algorithm for Large-Scale Nonlinear Programming. SIAM Journal on Optimization , 9 (4) , 877-900. https://doi.org/10.1137/s1052623497325107

Identifiers

DOI
10.1137/s1052623497325107