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arXiv 2408.05022eess.SYcs.SY
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有色噪声下四旋翼无人机的鲁棒反步控制

Robust Backstepping Control of a Quadrotor Unmanned Aerial Vehicle Under Colored Noises

Mehmet Karahan

AI总结:

针对四旋翼在有色噪声环境下的高度与姿态控制问题,本文基于 MATLAB 非线性模型设计鲁棒反步控制器,并通过多类噪声仿真验证其超调最小、调节时间最短。

摘要:

软硬件技术的进步促进了四旋翼无人机(UAV)的生产。如今,人们在搜救、反恐、消防、监视和货物运输等重要任务中积极使用四旋翼无人机。在执行这些任务时,四旋翼必须在噪声环境中运行。因此,设计一种能够在噪声环境中控制四旋翼高度和姿态的鲁棒控制器具有重要意义。许多研究人员在其研究中只关注高斯白噪声,而研究人员需要考虑四旋翼运行期间所有有色噪声的影响。本研究旨在设计一种能够抵抗所有有色噪声的鲁棒控制器。首先,使用 MATLAB 建立了非线性四旋翼模型。然后,设计了一种抗有色噪声的反步控制器。所设计的反步控制器在高斯白噪声、粉红噪声、棕色噪声、蓝色噪声和紫色噪声下进行了测试。还进行了 PID 和基于 Lyapunov 的控制器设计,并将它们的时间响应(上升时间、超调量、调节时间)与反步控制器进行了比较。在仿真中,时间以秒为单位,高度以米为单位,滚转、俯仰和偏航参考量以弧度为单位。上升时间和调节时间值以秒为单位,超调量值以百分比为单位。考察所得数值后,仿真证明所提出的反步控制器在所有噪声类型下均具有最小的超调量和最短的调节时间。

英文摘要:

Advances in software and hardware technologies have facilitated the production of quadrotor unmanned aerial vehicles (UAVs). Nowadays, people actively use quadrotor UAVs in essential missions such as search and rescue, counter-terrorism, firefighting, surveillance, and cargo transportation. While performing these tasks, quadrotors must operate in noisy environments. Therefore, a robust controller design that can control the altitude and attitude of the quadrotor in noisy environments is of great importance. Many researchers have focused only on white Gaussian noise in their studies, whereas researchers need to consider the effects of all colored noises during the operation of the quadrotor. This study aims to design a robust controller that is resistant to all colored noises. Firstly, a nonlinear quadrotor model was created with MATLAB. Then, a backstepping controller resistant to colored noises was designed. The designed backstepping controller was tested under Gaussian white, pink, brown, blue, and purple noises. PID and Lyapunov-based controller designs were also carried out, and their time responses (rise time, overshoot, settling time) were compared with those of the backstepping controller. In the simulations, time was in seconds, altitude was in meters, and roll, pitch, and yaw references were in radians. Rise and settling time values were in seconds, and overshoot value was in percent. When the obtained values are examined, simulations prove that the proposed backstepping controller has the least overshoot and the shortest settling time under all noise types.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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