论文标题
基于无人机软着陆的滑动模式控制的终端角度约束指导
Terminal-Angle-Constrained Guidance based on Sliding Mode Control for UAV Soft Landing on Ground Vehicles
论文作者
论文摘要
在本文中,考虑了无人驾驶飞机在固定,移动或加速 /操纵地面车辆上以所需的接近角度和高程的指导式固定,移动或加速 /操纵地面车辆的指导问题。已经使用了非线性参与运动学。尽管为此目的,文献中已经开发了集成的非线性控制器,但在实际实现中,控制器输入通常需要修改现有的自动驾驶结构,这是具有挑战性的。为了避免在本文中设计高级指导算法,利用基于滑动模式控制的方法。在提出的指导公式中,可以在指导命令中避免目标状态依赖性的奇异性。通过数值模拟研究验证了提出的指导法的有效性。但是,由于发现其基本形式的算法要求在与机动地面目标的大距离内需要高的指导命令,因此旁边介绍了两阶段的指导,以避免此问题并通过数值模拟进行验证。最后,修改后的指南算法的疗效通过软件模拟验证了现实的测试台。
In this paper the problem of guidance formulation for autonomous soft landing of unmanned aerial vehicles on stationary, moving, or accelerating / maneuvering ground vehicles at desired approach angles in both azimuth and elevation is considered. Nonlinear engagement kinematics have been used. While integrated nonlinear controllers have been developed in the literature for this purpose, in practical implementations the controller inputs often need modification of the existing autopilot structure, which is challenging. In order to avoid that a higher-level guidance algorithm is designed in this paper leveraging sliding mode control-based approach. In the presented guidance formulation, target-state-dependent singularity can be avoided in the guidance command. The effectiveness of the presented guidance law is verified with numerical simulation studies. However, since the algorithm in its basic form is found to demand high guidance command at large distances from maneuvering ground targets, a two-phase guidance is presented next to avoid this problem and validated with numerical simulations. Finally, the efficacy of the modified guidance algorithm is validated by Software-In-The-Loop simulations for a realistic testbed.