Loss of Control Prevention of an Agile Aircraft: Dynamic Command Saturation Approach
Ege \c{C}. Altunkaya, Ak{\i}n \c{C}atak, Emre Koyuncu, \.Ibrahim, \"Ozkol

TL;DR
This paper introduces a Lyapunov-based dynamic command saturation method to prevent loss of control in agile aircraft during extreme maneuvers, enhancing stability and maneuverability beyond conventional limits.
Contribution
It presents a novel control architecture utilizing incremental nonlinear dynamic inversion and Lyapunov-based command saturation to improve aircraft stability during extreme maneuvers.
Findings
Expanded stable maneuverable volume by up to 55%
Superiority over conventional state limiters demonstrated in simulations
Effectively softens excessive pilot commands in-flight
Abstract
The prevention of the loss of control in agile aircraft during the extreme maneuvers is of concern due to the nonlinear aerodynamics and flight dynamics nature of the aircraft in this study. Within this context, the primary objective is to present an architectural framework and elucidate the methodology for its determination. This architecture enables agile maneuvering aircraft to execute more extreme maneuvers while avoiding departure from stable flight, surpassing maneuverability capabilities of conventional state limiters. Hence, the notion of an incremental attainable moment set is introduced for an instantaneous controllability investigation using demanded control moment coefficients derived in the high-level controller, which is the incremental nonlinear dynamic inversion. In the event of detecting a violation of controllability boundaries, Lyapunov-based dynamic command…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFault Detection and Control Systems · Risk and Safety Analysis
MethodsSparse Evolutionary Training
