Robust autopilot design for landing a large civil aircraft in crosswind
A comprehensive autolanding design for a representative model of a twin-engined
commercial aircraft is presented in this paper. To facilitate the design task and minimize …
commercial aircraft is presented in this paper. To facilitate the design task and minimize …
Flight testing automatic landing control for unmanned aircraft including curved approaches
N Sedlmair, J Theis, F Thielecke - Journal of guidance, control, and …, 2022 - arc.aiaa.org
Automatic landing of aircraft is a challenging guidance and control task that requires multiple
feedback loops and a precise sequence of actions. Increasing operational flexibility and …
feedback loops and a precise sequence of actions. Increasing operational flexibility and …
Application of structured robust synthesis for flexible aircraft flutter suppression
This article presents a method for structured robust control design for systems with a mixture
of parametric and dynamic uncertainty. The proposed method alternates between an …
of parametric and dynamic uncertainty. The proposed method alternates between an …
Robust tuning of geometric attitude controllers for multirotor unmanned aerial vehicles
D Invernizzi, S Panza, M Lovera - Journal of Guidance, Control, and …, 2020 - arc.aiaa.org
In recent years there has been a significant body of literature proposing nonlinear attitude
control laws for small-scale multirotor unmanned aerial vehicles (UAVs), motivated by the …
control laws for small-scale multirotor unmanned aerial vehicles (UAVs), motivated by the …
Automatic take-off and landing of tailwheel aircraft with incremental nonlinear dynamic inversion
A Steinleitner, V Frenzel, O Pfeifle, J Denzel… - AIAA Scitech 2022 …, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-1228. vid This work presents a
control and guidance algorithm for automated tailwheel aircraft operation during takeoff and …
control and guidance algorithm for automated tailwheel aircraft operation during takeoff and …
SAR optimization and Convolutional Neural Network based fault estimations and for auto-landing control model
T Ayyasamy, S Nirmala, A Saravanakumar - Robotics and Autonomous …, 2023 - Elsevier
During auto landing, the aircraft flies at a significantly low altitude and low speed. So the
consequent accidents and flight crashes are highly possible. Several constrained space and …
consequent accidents and flight crashes are highly possible. Several constrained space and …
LFT modeling and μ analysis of the aircraft landing benchmark
The landing of a civil transport aircraft is one of the most challenging phases. The reason
mainly lies in the need to satisfy different concurrent requirements in the face of a wide …
mainly lies in the need to satisfy different concurrent requirements in the face of a wide …
Combining Stable Inversion and H∞ Synthesis for Trajectory Tracking and Disturbance Rejection Control of Civil Aircraft Autolanding
X Wang, Y Sang, G Zhou - Applied Sciences, 2020 - mdpi.com
The landing phase during a flight probably is the most dangerous part, as most of the
accidents occur in this phase. A robust trajectory tracking controller is presented to autoland …
accidents occur in this phase. A robust trajectory tracking controller is presented to autoland …
The usability analysis of software loading tools in a commercial airline
AA Abella, YT Prasetyo, MML Cahigas, RB Dela Cruz… - Work, 2024 - content.iospress.com
Background: Aircraft software loading tools evolved as enhanced floppy disks and different
types of portable data loaders emerged into the modern world. However, there was a lack of …
types of portable data loaders emerged into the modern world. However, there was a lack of …
Robust autoland design by multi-model H∞ synthesis with a focus on the flare phase
JM Biannic, C Roos - Aerospace, 2018 - mdpi.com
Recent advances in the resolution of multi-model and multi-objective control problems via
non-smooth optimization are exploited to provide a novel methodology in the challenging …
non-smooth optimization are exploited to provide a novel methodology in the challenging …