VTOL Failure Detection and Recovery by Utilizing Redundancy
Mohammadreza Mousaei, Azarakhsh Keipour, Junyi Geng, Sebastian, Scherer

TL;DR
This paper presents a real-time, aircraft-independent fault detection system and an optimization-based control allocation method for hybrid VTOLs, enhancing their safety and fault tolerance through redundancy utilization and experimental validation.
Contribution
It introduces a novel fault detection system and a control recovery approach specifically designed for hybrid VTOL aircraft, addressing a gap in fault tolerance research.
Findings
Effective real-time fault detection demonstrated in simulations and experiments.
Control allocation successfully recovers from various actuator failures.
Redundancy utilization enhances hybrid VTOL safety and reliability.
Abstract
Offering vertical take-off and landing (VTOL) capabilities and the ability to travel great distances are crucial for Urban Air Mobility (UAM) vehicles. These capabilities make hybrid VTOLs the clear front-runners among UAM platforms. On the other hand, concerns regarding the safety and reliability of autonomous aircraft have grown in response to the recent growth in aerial vehicle usage. As a result, monitoring the aircraft status to report any failures and recovering to prevent the loss of control when a failure happens are becoming increasingly important. Hybrid VTOLs can withstand some degree of actuator failure due to their intrinsic redundancy. Their aerodynamic performance, design, modeling, and control have all been addressed in the previous studies. However, research on their potential fault tolerance is still a less investigated field. In this workshop, we will present a…
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
TopicsAutonomous Vehicle Technology and Safety · Fault Detection and Control Systems · Aerospace and Aviation Technology
