Deep reinforcement learning control for aerobatic maneuvering of agile fixed-wing aircraft

SG Clarke, I Hwang - AIAA Scitech 2020 Forum, 2020 - arc.aiaa.org
Autonomous aerobatic flight has been a challenging control problem for many years. This is
because aerobatic flight requires such highly precise control while operating on the extreme …

Direct nmpc for post-stall motion planning with fixed-wing uavs

M Basescu, J Moore - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Fixed-wing unmanned aerial vehicles (UAVs) offer significant performance advantages over
rotary-wing UAVs in terms of speed, endurance, and efficiency. However, these vehicles …

Agile maneuvering with a small fixed-wing unmanned aerial vehicle

JM Levin, AA Paranjape, M Nahon - Robotics and Autonomous Systems, 2019 - Elsevier
This paper presents a general and systematic approach to automating a variety of agile
maneuvers with a small fixed-wing unmanned aerial vehicle. The methodology begins by …

Effect of handling characteristics on minimum time cornering with torque vectoring

EN Smith, E Velenis, D Tavernini… - Vehicle system dynamics, 2018 - Taylor & Francis
In this paper, the effect of both passive and actively-modified vehicle handling characteristics
on minimum time manoeuvring for vehicles with 4-wheel torque vectoring (TV) capability is …

Agile fixed-wing uav motion planning with knife-edge maneuvers

JM Levin, A Paranjape, M Nahon - … international conference on …, 2017 - ieeexplore.ieee.org
A modern class of small fixed-wing unmanned aerial vehicles are physically capable of
performing exceptional aerobatic maneuvers. This paper presents a methodology for …

Learning pugachev's cobra maneuver for tail-sitter uavs using acceleration model

W Xu, F Zhang - IEEE Robotics and Automation Letters, 2020 - ieeexplore.ieee.org
The Pugachev's cobra maneuver is a dramatic and demanding maneuver requiring the
aircraft to fly at extremely high Angle of Attacks (AOA) where stalling occurs. This paper …

Motion planning for a small aerobatic fixed-wing unmanned aerial vehicle

J Levin, A Paranjape, M Nahon - 2018 IEEE/RSJ International …, 2018 - ieeexplore.ieee.org
A motion planner is developed for guiding a small aerobatic fixed-wing unmanned aerial
vehicle to a desired goal region in a highly constrained, three-dimensional, known …

Reinforcement learning to control lift coefficient using distributed sensors on a wind tunnel model

A Guerra-Langan, S Araujo Estrada… - AIAA SCITECH 2022 …, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-0966. vid Arrays of sensors
distributed on the wing of fixed-wing vehicles can provide information not directly available …

Precision Post-Stall Landing Using NMPC With Learned Aerodynamics

M Basescu, B Yeh, L Scheuer, K Wolfe… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
In this letter, we present an approach for achieving precision post-stall landings with medium-
sized Group 1 Unmanned Aerial Systems (UAS). To do this, we employ an aggressive dive …

Least airspeed reduction strategy & flight recuperation of a fixed-wing drone

A Alatorre, P Castillo, R Lozano - … International Conference on …, 2021 - ieeexplore.ieee.org
An energy reduction strategy for a fixed-wing drone with classic configuration is presented in
this paper. The strategy is developed using the longitudinal non-linear motion equations of …