Feasibility of varying geo-fence around an unmanned aircraft operation based on vehicle performance and wind

D'Souza, Sarah; Ishihara, Abe; Nikaido, Ben; Hasseeb, Hashmatullah

doi:10.1109/dasc.2016.7777987

Cited by 22 publications

(8 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, an example of a geofencing system capable of handling automatic and remotely piloted flight is given in [20]. In [21], special requirements for a variable geofence are assessed, considering performance capabilities of the UAS and wind conditions.…”

Section: Related Workmentioning

confidence: 99%

Geofencing requirements for onboard safe operation monitoring

et al. 2020

View full text Add to dashboard Cite

The new concept for operation of drones, published by EASA in 2015, enables new ways to influence and possibly reduce the necessary safety targets of certain system components without reducing the overall safety of the unmanned aircraft system (UAS). Based on the safety assessment, the specific category enables new aircraft system architectures and mission designs. In this context, this paper analyzes runtime monitoring as a strategy to contain the UAS in its operational volume. To assure predefined properties in flight and thus assure the safety of the operation in progress with a high robustness, a formal methodology for safe operation monitoring is utilized. With this approach, this work targets to link the concept of safe operation monitoring with the upcoming regulations regarding the specific category and the specific operation risk assessment (SORA). One particular aspect of this safe operation monitoring is geofencing, the capability to contain a UAS in a previously restricted area. In the regulatory framework of a specific operation, risk assessment is required and so is the containment of the UAS in its operational volume. The functional and safety requirements for geofencing regarding their impact on the underlying specific operation risk assessment are discussed. To facilitate this discussion, a taxonomy of geofencing characteristics is derived based on a literature survey. Consequently, the geofencing requirements are assessed regarding their robustness and applicability for certification purposes. As a result, by monitoring the integrity of the system at runtime using geofencing as an example, it is investigated if the requirements and thus costs of development and certification process for the remaining components can be reduced.

show abstract

Section: Related Workmentioning

confidence: 99%

Geofencing requirements for onboard safe operation monitoring

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The concept can be understood as proposed by [10], where multiple static boundaries around an operating UAS are set up and constantly monitored. Another approach performed by [11] leads the way to a dynamic geofence, which changes based various vehicle parameters (speed etc.) and the wind component.…”

Section: Fig 10 Conceptual Overview Of a Manned Aircraft With A Frementioning

confidence: 99%

Precise Relative Navigation and Separation Assurance of UAS and Manned Aircraft during Low Altitude Airfield Operations

Schuster

Struempfel

Huschbeck

et al. 2020

AIAA Scitech 2020 Forum

View full text Add to dashboard Cite

This paper discusses the flight test setup and preliminary results of a precise relative navigation and separation assurance system to support safe simultaneous operation of general aviation aircraft and UAS at low altitudes in the vicinity of an uncontrolled airfield. With an increased use of UAS for a wide variety of applications, such as law enforcement, search and rescue, agriculture, infrastructure inspection, maintenance, mapping, filming and journalism, it is expected that UAS will be taking off, landing or otherwise operating at airfields at the same time as manned aircraft. In that case, it will be required that the UAS not only has precise knowledge of its location and velocity to enable an automatic flight at lower altitudes with sufficient accuracy, integrity, availability and continuity to support its operation (e.g. takeoff , landing, flight patterns), but also to support broadcasting its position and velocity to the other aircraft in the vicinity, for improved awareness of the UAS location and to achieve separation assurance

show abstract

“…In Raza and Etele 12 and Waslander and Wang 13 the flight dynamics of a quadrotor, in the presence of wind gusts, is modeled using a similar methodology to Hoffman et al 11 Additionally, a comprehensive survey of rotorcraft UAS control methods 14 identified PID controllers as one of the most widely used controllers, where its capability is typically expanded via gain scheduling. In D'Souza et al 15 a gain-scheduled, PID controller was implemented in a generalized trajectory prediction model and it was demonstrated that using a PID controller as means to model vehicle performance in the presence of a sustained wind proved difficult because of the inherent non-linearities of that exist for wind compensated vehicle dynamics.…”

Section: Introductionmentioning

confidence: 99%

Developing a Generalized Trajectory Modeling Framework for Small UAS Performance in the Presence of Wind

D'Souza

2017

AIAA Information Systems-Aiaa Infotech @ Aerospace

View full text Add to dashboard Cite

In the context of UAS Traffic Management operations, where varied vehicle types and uncertain winds are expected, there is a need for a trajectory simulation that trades a vehicle-centric approach with a systems level approach to model expected vehicle performance with an uncertain operational environment. This paper focuses on the first phase of this trajectory prediction development. The goal is to understand the behavior of this new framework as applied to a vehicle targeting a specific terminal altitude. Specifically, a generalized six degree of freedom trajectory model was built to identify vehicle performance in the presence of wind. Generalization of this model was achieved by reducing the number of simplifying assumptions and using vehicle performance parameters, that were non-specific to the control system, to drive the control solution. The inner loop control strategy behind this algorithm is to find the forces and torques required to guide the vehicle to an intended altitude within vehicle-specific force and attitude constraints in the presence of winds. The control solution was optimized via the Artificial Bee Colony genetic optimization method. It was successfully demonstrated that this framework can utilize vehicle performance parameters, that were non-specific to the control system, to optimize a control solution for targeting an operational altitude. Additionally, vertical and lateral path deviations from the nominal case were observed in the wind case results. This forms the basis for quantifying the spatial and temporal requirements a vehicle will need for a given operation.

show abstract

Feasibility of varying geo-fence around an unmanned aircraft operation based on vehicle performance and wind

Cited by 22 publications

References 21 publications

Geofencing requirements for onboard safe operation monitoring

Geofencing requirements for onboard safe operation monitoring

Precise Relative Navigation and Separation Assurance of UAS and Manned Aircraft during Low Altitude Airfield Operations

Developing a Generalized Trajectory Modeling Framework for Small UAS Performance in the Presence of Wind

Contact Info

Product

Resources

About