Going to AIAA Aviation 2023

Published: Jun 12, 2023 by Daning Huang

For the coming AIAA Aviation 2023 conference we will be presenting three papers spanning over a range of research fields, with our collaborators. Here are the summaries:

Multi-timescale hierarchical control

Graph-based Hierarchical Control of Electrified Aircraft Systems with Automated Timescale Decomposition

  • Yin Yu, Seho Park, Daning Huang, Herschel Pangborn
  • This paper aims to address one main challenge in the energy management of electrified aircraft involving nonlinear electro-thermo-mechanical dynamics. Hierarchical control is a potent method to control the system in an efficient and nearly optimal manner, yet it requires the knowledge of multiple timescales that are unlikely available.
  • We developed an algorithm that leverages Koopman theory for systematic timescale decomposition of a networked dynamical system, which informs the design of a hierarchical control framework. The whole workflow is demonstrated on an electrified unmanned aerial vehicle.

Modal Analysis of Spatiotemporal Data via Multi-fidelity Multi-variate Gaussian Processes

  • Jiwoo Song, Daning Huang
  • We identified an interesting connection between Gaussian processes (GP) and the classical dynamical mode decomposition (DMD) method via linear system theory and Koopman formalism; in some sense, both methods estimate the spectral density of the underlying system.
  • Viewing GP as a Bayesian version of DMD, we demonstrate the robustness of GP in the presence of nonlinearity, high noise, and irregular time sampling.
  • Here are the 10-min slides for this paper.

Landing of eVTOL

Precision Landing Trajectory Optimization for eVTOL Vehicles with High-Fidelity Aerodynamic Models

  • Yufei Wu, Sabrullah Deniz, Yang Shi, Zhenbo Wang, Daning Huang
  • We propose a novel approach to optimal landing control of electric vertical takeoff and landing (eVTOL) vehicles for potentially wide applications such as urban air mobility (UAM), passenger transportation, package delivery, and aircraft carrier landing missions.
  • Particularly we aim to develop efficient algorithms that facilitate generation of accurate optimal landing trajectories for eVTOL vehicles under operational constraints considering high-fidelity aerodynamic models.
Publication