Published: Jan 12, 2026 by Daning Huang
At the AIAA SciTech 2026 conference, we contributed three papers over a range of research fields, with our collaborators. Here are the summaries:
Trajectory Optimization of Morphing Aerial Vehicles Based on Mid-Fidelity Aeroservoelastic Models
- Parker Smith, Subarna Pudasaini, Daning Huang
- Continuing our prior preliminary study, we developed a coupled framework of aeroservoelasticity and trajectory optimization and studied the effects of morphing of an aerial vehicle in the scenarios of reachability and obstacle avoidance. A detailed work analysis reveals the interplay between conventional and morphing controls, and how it dramatically reduces control cost in aggressive maneuvers.
- Here are the slides for this paper.
- Carlos Vargas Venegas, Daning Huang, Patrick Blonigan, John Tencer
- As an extension of last year’s work on the application of PIROM to TPS, we considered a more challenging case, where the TPS material can ablate. But maybe not surprisingly, PIROM works perfectly as long as the model form is devised carefully: it achieves zero-shot learning and extrapolates with ease to completely new ablating materials without any new samples.
- The work is done jointly with collaborators from the Sandia National Lab, Drs. Patrick Blonigan and John Tencer.
- Here are the slides for this paper.
Low-Order H2/H-infinity Controller Design for Aeroelastic Vibration Suppression
- Mohammad Mirtaba, Juan Augusto Paredes Salazar, Daning Huang, Ankit Goel
- In collaboration with folks from University of Maryland, Baltimore County, we look into how nonlinear control techniques can suppress aeroelastic vibration.
- Here is the arXiv version of this paper.