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使用高阶滑模控制器和非线性PID控制器对固定翼无人机进行控制。

Control of a fixed wing unmanned aerial vehicle using a higher-order sliding mode controller and non-linear PID controller.

作者信息

Admas Yibeltal Antehunegn, Mitiku Hunachew Moges, Salau Ayodeji Olalekan, Omeje Crescent Onyebuchi, Braide Sepiribo Lucky

机构信息

Faculty of Mechanical and Industrial Engineering, Bahir Dar Institute of Technology, Bahir Dar University, Amhara, Ethiopia.

School of Electrical and Computer Engineering, Woldia University, Amhara, Ethiopia.

出版信息

Sci Rep. 2024 Oct 4;14(1):23139. doi: 10.1038/s41598-024-73901-y.

Abstract

Unmanned aerial vehicles (UAVs) have seen a rise in use during the last few years. Such aircrafts are now a convenient way to complete dangerous, dirty, and tedious tasks. Given that their operation involves a control problem which is non-linear and coupled, it is difficult to analyse. This paper presents the modeling and control of a fixed-wing unmanned aircraft as a contribution to this field. The system's flight dynamics is derived using Newton's second law of motion. The system is designed to have a non-linear Proportional Integral Derivative (NPID) controller and a higher-order sliding mode controller (HOSMC). When simulating the system using MATLAB Simulink software, an external disturbance was added to test the robustness of the controllers. Five performance indices which include mean square error (MSE), integral time square error (ITSE), integral absolute error (IAE), integral time absolute error (ITAE), and integral square error (ISE), were used to compare the controllers performance. These indices are used to provide a numerical assessment of the two controllers' performance. The outcomes demonstrate that the roll, pitch, and yaw states performed better than the super-twisting sliding mode controller. On the airspeed control, the non-linear PID performed better than the super-twisting sliding mode controller.

摘要

在过去几年中,无人机(UAVs)的使用量有所增加。如今,此类飞行器是完成危险、肮脏和繁琐任务的便捷方式。鉴于其操作涉及非线性且耦合的控制问题,难以进行分析。本文提出了一种固定翼无人机的建模与控制方法,作为对该领域的贡献。利用牛顿第二运动定律推导系统的飞行动力学。该系统设计有一个非线性比例积分微分(NPID)控制器和一个高阶滑模控制器(HOSMC)。在使用MATLAB Simulink软件对系统进行仿真时,添加了外部干扰以测试控制器的鲁棒性。使用包括均方误差(MSE)、积分时间平方误差(ITSE)、积分绝对误差(IAE)、积分时间绝对误差(ITAE)和积分平方误差(ISE)在内的五个性能指标来比较控制器的性能。这些指标用于对两个控制器的性能进行数值评估。结果表明,在滚转、俯仰和偏航状态方面,(该控制器)比超扭曲滑模控制器表现更好。在空速控制方面,非线性PID比超扭曲滑模控制器表现更好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d4/11452718/4ef847b1a75b/41598_2024_73901_Fig1_HTML.jpg

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