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Cooperative rendezvous of ground vehicle and aerial vehicle using model predictive control

机译:基于模型预测控制的地面飞行器与空中飞行器的协同交会

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This paper considers the problem of controlling a fixed-wing unmanned aerial vehicle and a cooperating unmanned ground vehicle to rendezvous by making the aerial vehicle land on top the ground vehicle. Both vehicles are actively taking part in the control effort, where they coordinate positions and velocities to complete the landing. The rendezvous time and the terminal state are kept free to increase the flexibility of the solution. There are two main challenges with this maneuver. First, the controller must force the system to stay within a safe set such that the aerial vehicle approaches the ground vehicle directly from above. Second, the rendezvous must occur within some finite distance. A model predictive control algorithm is proposed to achieve these objectives. The choice is motivated by recent experimental results showing how the landing safety and efficiency could benefit from including safety margins already in the computation of the control inputs. A controller, which steers the agents towards rendezvous and which indirectly provides safety guarantees through non-convex optimization constraints, is derived. Simulations are provided showing the ability of the controller to plan a safe trajectory online, even under the disturbance of wind gusts.
机译:本文考虑了使固定翼无人飞行器和协作无人飞行器交会的问题,方法是使飞行器降落在地面飞行器的顶部。这两辆车都在积极参与控制工作,他们在此协调位置和速度以完成着陆。集合时间和终端状态可以自由使用,以增加解决方案的灵活性。这种机动有两个主要挑战。首先,控制器必须强制系统保持在安全范围内,以使飞行器直接从上方接近地面车辆。其次,集合点必须在一定距离内发生。提出了一种模型预测控制算法来实现这些目标。该选择受到最近的实验结果的启发,这些实验结果显示了在计算控制输入时已经包括安全裕度,从而可以使着陆安全性和效率受益。导出了一个控制器,该控制器将代理引导到集合点,并通过非凸优化约束间接提供安全保证。提供的仿真显示了即使在阵风的干扰下,控制器也可以在线计划安全轨迹的能力。

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