Performance Evaluation of Control Strategies for Autonomous Quadrotors: A Review

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2024-11-20 DOI:10.1155/2024/8820378
Hamid Hassani, Anass Mansouri, Ali Ahaitouf
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引用次数: 0

Abstract

The recent progress in the fields of sensor miniaturization, light materials, automatic control, and battery management systems has opened up new opportunities for low-cost unmanned aerial vehicles (UAVs), such as quadrotors. In fact, quadrotors have transitioned from a primarily military application to being widely used almost everywhere. Evidently, controlling such robots requires a deep understanding of their dynamic behavior and the use of robust strategies to accomplish the flight missions without compromising users’ safety. This study presents a comprehensive survey of control strategies for unmanned quadrotors. In our examination, the performance assessment of widely used control algorithms is discussed. Furthermore, the concept of model-based design is presented as a solution for bridging the gap between simulation and experimental validation of control systems. It is anticipated that the present study will provide the reader with a clear vision of quadrotor UAV control theory.

Abstract Image

自主四旋翼飞行器控制策略的性能评估:综述
传感器微型化、轻型材料、自动控制和电池管理系统等领域的最新进展,为四旋翼飞行器等低成本无人驾驶飞行器(UAV)带来了新的机遇。事实上,四旋翼无人机已从主要用于军事领域过渡到广泛应用于几乎所有领域。显而易见,控制此类机器人需要深入了解其动态行为,并使用稳健的策略来完成飞行任务,同时不影响用户的安全。本研究全面考察了无人驾驶四旋翼飞行器的控制策略。在研究中,我们讨论了广泛使用的控制算法的性能评估。此外,还提出了基于模型的设计概念,作为弥合控制系统模拟和实验验证之间差距的解决方案。预计本研究将为读者提供一个关于四旋翼无人机控制理论的清晰视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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