The design of micro aerial vehicles has been long inspired by biological flyers such as birds
and insects. The aerodynamic principles of flapping wing flights are complex due to the …

Reconstruction of unsteady vortical flow fields from limited sensor measurements is
challenging. We develop machine learning methods to reconstruct flow features from sparse …

Air vehicles of all scales are susceptible to large-amplitude gusts that may lead to vehicle
damage and instability. Therefore, effective physics-based control strategies and an …

Most variational principles in classical mechanics are based on the principle of least action,
which is only a stationary principle. In contrast, Gauss' principle of least constraint is a true …

This study explores the application of deep reinforcement learning (RL) to design an airfoil
pitch controller capable of minimizing lift variations in randomly disturbed flows. The …

Wing–gust encounters cause harmful lift transients that can be mitigated through
maneuvering of the wing. This paper presents a method to generate an open-loop (ie …

Gust response has consistently been a concern in engineering. Critical theories have been
proposed in the past to predict the unsteady lift response of an airfoil experiencing vertical …

In this study, we explore the problem of an airfoil in a harmonic and arbitrary periodic
pitching motion and seek to understand how theoretical estimation with first-order potential …

The prediction of gust loads during atmospheric flight can aid in the design, assessment and
certification of aircraft, and can also enhance the reliability of low-inertia vehicles which are …

A wing travelling at a constant angle of attack, α, experiences a large lift spike when
subjected to a high-amplitude transverse gust. This study analyses the capability of a low …