2022
DOI: 10.1146/annurev-control-042920-012045
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Design and Control of Drones

Abstract: The design and control of drones remain areas of active research, and here we review recent progress in this field. In this article, we discuss the design objectives and related physical scaling laws, focusing on energy consumption, agility and speed, and survivability and robustness. We divide the control of such vehicles into low-level stabilization and higher-level planning such as motion planning, and we argue that a highly relevant problem is the integration of sensing with control and planning. Lastly, w… Show more

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Cited by 16 publications
(5 citation statements)
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“…One of the most common UAV designs is the quadcopter which is a multirotor device driven by four independently controlled propellers. The simplicity and agility of quadcopters as explained in (Mueller et al, 2022) have made them one of the preferred choices for a variety of applications, such as surveillance (Jaimes et al, 2008), mapping (Siebert and management (Erdelj et al, 2017). Nevertheless, conventional quadcopters are usually not able to achieve a high top speed, nor are they able to fly efficiently at a high speed.…”
Section: Introductionmentioning
confidence: 99%
“…One of the most common UAV designs is the quadcopter which is a multirotor device driven by four independently controlled propellers. The simplicity and agility of quadcopters as explained in (Mueller et al, 2022) have made them one of the preferred choices for a variety of applications, such as surveillance (Jaimes et al, 2008), mapping (Siebert and management (Erdelj et al, 2017). Nevertheless, conventional quadcopters are usually not able to achieve a high top speed, nor are they able to fly efficiently at a high speed.…”
Section: Introductionmentioning
confidence: 99%
“…Different from dynamics of rigid rotorcraft with elastic contacts [30], we study herein the embedded compliance into the MAV arms in a way similar to legged locomotion compliance modeling [31]. We study the dynamics in free flight and collision scenarios separately.…”
Section: Dynamic Modelingmentioning
confidence: 99%
“…Containment control algorithms play a pivotal role in enabling optimal routing, collision avoidance, and airspace management, facilitating the seamless integration of aerial mobility services into established urban infrastructures. Moreover, these research endeavors can contribute to the development of resilient and scalable control methodologies capable of accommodating the expected surge in air traffic volume accompanying the expansion of UAM services [5,6], ultimately fostering the realization of more sustainable and inclusive urban transportation solutions.…”
Section: Introductionmentioning
confidence: 99%