Magnus-Effect Winged Hybrid UAV System: Improved Energy Efficient and Autonomy Through Control Allocation Strategy

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2024-09-19 DOI:10.1109/TAES.2024.3464569
Zakeye Azaki;Jonathan Dumon;Alexis Offermann;Nacim Meslem;Pierre Susbielle;Amaury Negre;Ahmad Hably
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Abstract

While multirotor autonomous aerial vehicles have excellent maneuverability, they lack the ability to perform long-endurance flights. Many design-based approaches to addressing this drawback exist. To overcome this challenge, this article proposes the Magnus-effect winged quadcopter system design. We use the rotational speed of the Magnus-effect-based wings in this system as a control variable to maximize the contribution from these wings, thus minimizing the necessary and required thrust from the quadcopter and, therefore, the system's energy consumption. To this end, we developed an airspeed-dependent nonlinear optimization control allocation scheme to operate the system at a wide range of airspeeds. Realistic simulations and outdoor experiments validate the approach, demonstrating the superior energy efficiency of the Magnus-based quadcopter system compared to traditional quadcopter and emphasizing its potential for achieving extended endurance.
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马格努斯效应翼混合无人机系统:通过控制分配策略提高能效和自主性
多旋翼自主飞行器虽然具有优良的机动性,但缺乏进行长航时飞行的能力。有许多基于设计的方法可以解决这个缺点。为了克服这一挑战,本文提出了马格纳斯效应带翼四轴飞行器的系统设计。在这个系统中,我们使用基于magnus效应的机翼的旋转速度作为控制变量,以最大限度地提高这些机翼的贡献,从而最大限度地减少四轴飞行器的必要推力,从而减少系统的能量消耗。为此,我们开发了一种与空速相关的非线性优化控制分配方案,以使系统在大范围的空速下运行。现实仿真和室外实验验证了该方法,证明了magnus四轴飞行器系统与传统四轴飞行器相比具有优越的能源效率,并强调了其实现延长续航力的潜力。
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
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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