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Adaptive control for multi-rotor UAVs autonomous ship landing with mission planning

机译:具有任务计划的多旋翼无人机自主降落的自适应控制

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The autonomous ship landing control issue of multi-rotor Unmanned Aerial Vehicles (UAVs) is investigated. To achieve the ship landing operation efficiently and precisely, a novel mission planning consisting of an approaching stage and a landing stage is first proposed, where the desired altitude for the UAV is provided according to the requirements in each stage. Affected by rough sea wave, a feasible final landing condition is planned such that the UAV could land on the ship board in a safe environment. Then, the solution to the ship landing operation is transformed into the UAV trajectory tracking. Due to the underactuated nature of the UAV, an adaptive robust hierarchical algorithm is developed such that the position tracking to the desired trajectory and the attitude tracking to the command attitude are achieved. In particular, an asymmetric saturated command force is designed by introducing a dynamic compensator to ensure the nonsingular attitude extraction, and a tracking error constrained applied torque is exploited to avoid the nature singularity of Euler angle in sequence. The asymptotic stability of the closed-loop system is analyzed in view of the hierarchical system stability theory. Simulations are performed to validate the proposed strategy. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:研究了多旋翼无人机的自主降落控制问题。为了有效,精确地完成舰船着陆操作,首先提出了一种由进场阶段和着陆阶段组成的新颖的任务计划,其中,无人机的理想高度根据每个阶段的要求提供。受波涛汹涌的海浪影响,计划了可行的最终降落条件,以使无人机可以在安全的环境中降落在船上。然后,将舰船着陆操作的解决方案转换为无人机轨迹跟踪。由于无人机的欠驱动特性,开发了一种自适应鲁棒分层算法,从而实现了对所需轨迹的位置跟踪和对命令姿态的姿态跟踪。特别地,通过引入动态补偿器来设计非对称饱和指令力以确保非奇异的姿态提取,并且利用跟踪误差约束的施加扭矩来依次避免欧拉角的自然奇异性。根据分层系统稳定性理论,分析了闭环系统的渐近稳定性。进行仿真以验证所提出的策略。 (C)2019 Elsevier Masson SAS。版权所有。

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