Trajectory Optimization of Morphing Aerial Vehicles Based on Mid-Fidelity Aeroservoelastic Models
Subarna Pudasaini, Parker Smith, Daning Huang

TL;DR
This paper develops a trajectory optimization framework for morphing aerial vehicles using a mid-fidelity aeroservoelastic model, demonstrating significant performance improvements and control cost reductions in various maneuvers.
Contribution
It introduces a physics-based control cost model integrated with a coupled structural and aerodynamic simulation for optimized morphing wing trajectories.
Findings
Morphing wings expand the flight envelope by decoupling lift and pitch.
Dynamic maneuvers show increased altitude gain and lateral displacement with morphing.
Obstacle avoidance benefits include a 65.65% reduction in control cost.
Abstract
Morphing aerial vehicles offer enhanced maneuverability and fuel efficiency compared to fixed-wing configurations. However, the trade-off between performance gains and control cost in dynamic, unsteady maneuvers remains under-explored. This paper addresses this by integrating a trajectory optimization framework with a mid-fidelity aeroservoelastic model, coupling nonlinear multi-body structural dynamics with an unsteady vortex lattice method. A physics-based control cost model captures the energy required to overcome instantaneous aerodynamic hinge moments. Applied to an aircraft with flexible, high-aspect-ratio wings and morphing winglets, the framework evaluates trim, maneuver performance, and lateral obstacle avoidance. Results show morphing wings significantly expand the flight envelope by decoupling lift and pitch requirements. In dynamic maneuvers, morphing yields distinct…
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