Mission performance trade-offs of battery-powered sUAS

Hovenburg, Anthony Reinier; Johansen, Tor Arne; Storvold, Rune

doi:10.1109/icuas.2017.7991389

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…For both fixed-wing and rotary-wing sUAS, the maximum range by approximation is reduced proportional to the increase in weight. For sUAS with constant mission variables, the maximum endurance is reduced by a factor of approximately W 3/2 , where W is the weight, for both fixed-wing [21,38] and rotary-wing [39]. Therefore, an increase of 5% on weight, for example, means a reduction of approximately 7% of endurance.…”

Section: Methodsmentioning

confidence: 99%

A Survey of Practical Design Considerations of Optical Imaging Stabilization Systems for Small Unmanned Aerial Systems

Rodin

Andrade

Hovenburg

et al. 2019

Sensors

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Optical imaging systems are one of the most common sensors used for collecting data with small Unmanned Aerial Systems (sUAS). Plenty of research exists which present custom-made optical imaging systems for specific missions. However, the research commonly leaves out the explanation of design parameters and considerations taken during the design of the optical imaging system, especially the image stabilization strategy used, which is a significant issue in sUAS imaging missions. This paper surveys useful methodologies for designing a stabilized optical imaging system by presenting an overview of the important aspects that must be addressed in the designing phase and which tools and techniques are available and should be chosen according to the design requirements.

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Section: Methodsmentioning

confidence: 99%

A Survey of Practical Design Considerations of Optical Imaging Stabilization Systems for Small Unmanned Aerial Systems

Rodin

Andrade

Hovenburg

et al. 2019

Sensors

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“…Many nonlinear control algorithms have not been sufficiently tested outside nominal operating conditions for fixed-wing UAVs. Moreover, flight control methods developed for highperformance aircraft are not easily adopted since fixedwing UAVs typically operate at low speeds with small stall margins, [7], and only limited resources are available for tuning in many cases.…”

Section: A Background and Motivationmentioning

confidence: 99%

Toward Nonlinear Flight Control for Fixed-Wing UAVs: System Architecture, Field Experiments, and Lessons Learned

Coates

Reinhardt

Gryte

et al. 2022

2022 International Conference on Unmanned Aircraft Systems (ICUAS)

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Inner-loop control algorithms in state-of-the-art autopilots for fixed-wing unmanned aerial vehicles (UAVs) are typically designed using linear control theory, to operate in relatively conservative flight envelopes. In the Autofly project, we seek to extend the flight envelopes of fixed-wing UAVs to allow for more aggressive maneuvering and operation in a wider range of weather conditions. Throughout the last few years, we have successfully flight tested several inner-loop attitude controllers for fixed-wing UAVs using advanced nonlinear control methods, including nonlinear model predictive control (NMPC), deep reinforcement learning (DRL), and geometric attitude control. To achieve this, we have developed a flexible embedded platform, capable of running computationally demanding lowlevel controllers that require direct actuator control. For safe operation and rapid development cycles, this platform can be deployed in tandem with well-tested standard autopilots. In this paper, we summarize the challenges and lessons learned, and document the system architecture of our experimental platform in a best-practice manner. This lowers the threshold for other researchers and engineers to employ new low-level control algorithms for fixed-wing UAVs. Case studies from outdoor field experiments are provided to demonstrate the efficacy of our research platform.

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“…The literature in this domain deals with task assignment, scheduling and path planning of the multiple agents, considering physical resource constraints such as the total number of agents, their communication ranges [5], [6] and their battery levels. Rescheduling methods have been introduced to ensure the safe return of a drones [7] and the trade-off between mission performance and battery consumption has been thoroughly investigated [8]. Solutions consider variants of the travelling salesman (TSP) and vehicle routing problems (VRP) [9], [10], [11], while heuristic [12] and meta-heuristic algorithms [13] have been proposed to solve practical instances of the problems with short computation times.…”

Section: Background and Related Workmentioning

confidence: 99%

A Unified Framework for Reliable Multi-Drone Tasking in Emergency Response Missions

Terzi

Kolios

Panayiotou

et al. 2019

2019 International Conference on Unmanned Aircraft Systems (ICUAS)

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In this paper a unified framework is presented for coordinated multi-drone tasking in emergency response missions. As elaborated in this work, response missions can be broken into a number of distinct tasks that can be allocated among the available drone agents to expedite the response operations. The proposed framework enables the development and execution of algorithms that jointly schedule and route drone agents across the field to complete their tasks and successfully address the mission goals considering the agent limitations. The key design challenges of implementing the proposed framework are discussed. Finally, initial simulation and experimental results are presented providing evidence of the real life applicability and reliability of the proposed framework.

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Mission performance trade-offs of battery-powered sUAS

Cited by 7 publications

References 12 publications

A Survey of Practical Design Considerations of Optical Imaging Stabilization Systems for Small Unmanned Aerial Systems

A Survey of Practical Design Considerations of Optical Imaging Stabilization Systems for Small Unmanned Aerial Systems

Toward Nonlinear Flight Control for Fixed-Wing UAVs: System Architecture, Field Experiments, and Lessons Learned

A Unified Framework for Reliable Multi-Drone Tasking in Emergency Response Missions

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