Barrier Function Enhanced Geometric Controller for Safe Control of a Quadrotor UAV

Haoran Zhang, Xuetao Zhang, Tianyi Li, Shiyong Zhang, Xuebo Zhang
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引用次数: 0

Abstract

Appropriate safety constraints, especially the state constraints, of a quadrotor unmanned aerial vehicle (UAV) are fundamental for safe control. Following the prevalent geometric controller, a new safe geometric control approach is proposed with state constraints for a quadrotor UAV, wherein the control barrier function (CBF) is integrated into the geometric controller to achieve safe control of the quadrotor UAV. Specifically, the CBF with respect to the states is constructed to establish the corresponding safety region. To satisfy the safety constraints, i.e., confining the states of the quadrotor UAV in the safety region rigorously, the control inputs calculated from geometric controller are refined with minimal modification by utilizing quadratic programming. The simulation study demonstrates the remarkable performance of the proposed approach in terms of the safety motion of a quadrotor UAV.
基于屏障函数增强的四旋翼无人机安全控制几何控制器
四旋翼无人机的安全约束,特别是状态约束是安全控制的基础。在现有几何控制器的基础上,提出了一种带状态约束的四旋翼无人机安全几何控制方法,将控制障碍函数(CBF)集成到几何控制器中,实现四旋翼无人机的安全控制。具体而言,通过构造相对于状态的CBF来建立相应的安全区域。为了满足安全约束,即严格将四旋翼无人机的状态限制在安全区域内,利用二次规划对几何控制器计算得到的控制输入进行最小修改细化。仿真研究表明,该方法在四旋翼无人机安全运动方面具有显著的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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