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Target Tracking Based on a Nonsingular Fast Terminal Sliding Mode Guidance Law by Fixed-Wing UAV

机译:固定翼无人机基于非奇异快速终端滑模制导律的目标跟踪

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摘要

This paper proposes a modified nonsingular fast terminal sliding mode (NFTSM) guidance law to solve the problem of ground moving target tracking for fixed-wing unmanned aerial vehicle (UAV) in a planar environment. Firstly, the loitering algorithm is analysed, which can steer the UAV to follow and circle around a ground moving target with the desired distance by heading angle control. Secondly, the effects of different parameters on the convergence time of sliding manifold is presented which is helpful for the designing of sliding manifold. Singularity can be avoided by using a modified saturation function which is obtained through a small range around the null point. Moreover, the NFTSM sliding manifold is used in the loitering algorithm. By using the Lyapunov theory, the finite-time convergence of the proposed method has been proved in the the reaching phase and the sliding phase. In order to verify the approach’s feasibility and benefits, numerical simulations are performed by using a moving target with three different motion states in comparison with the conventional sliding model control method. Simulation results indicate that, under the proposed NFTSM guidance law, the UAV can reach the desired distance in a short time.
机译:提出了一种改进的非奇异快速终端滑模(NFTSM)制导律,以解决平面环境下固定翼无人机的地面运动目标跟踪问题。首先,分析了游荡算法,该算法可通过航向角控制使无人机跟随并以期望的距离围绕地面移动目标盘旋。其次,提出了不同参数对滑动歧管收敛时间的影响,有助于滑动歧管的设计。通过使用经过修改的饱和度函数可以避免奇点,该饱和度函数是通过零点附近的小范围获得的。此外,在游荡算法中使用了NFTSM滑动歧管。利用李雅普诺夫理论,证明了该方法在到达阶段和滑动阶段的有限时间收敛性。为了验证该方法的可行性和优势,与传统的滑模控制方法相比,使用具有三个不同运动状态的运动目标进行了数值模拟。仿真结果表明,在拟议的NFTSM制导律下,无人机可以在短时间内达到期望的距离。

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