arXiv:2504.01983eess.SYcs.RO2025-04被引 5

无需预先知道耦合力,自适应控制让无人机机械臂更稳定抓物。

Impedance and Stability Targeted Adaptation for Aerial Manipulator with Unknown Coupling Dynamics

  • 基于自适应律动态补偿未知耦合力和参数不确定性
  • 实验显示抓取任务中稳定性与跟踪精度显著优于现有方法
  • 适合实际应用中动力学模型不准确的复杂空中操作场景

在动态任务如物体捕获、着陆或与刚性表面接触时,稳定的空中操作需要柔顺行为,通常通过阻抗控制实现。成功操控取决于阻抗控制对无人机与机械臂间不可避免的耦合力的处理能力。然而,现有空中机械臂阻抗控制器要么忽略这些耦合力(分块系统柔顺方法),要么依赖其精确已知(完整系统柔顺方法)。不幸的是,这些力极难建模,甚至无法建模。为解决这一长期控制难题,本文提出一种不依赖系统动力学及耦合力先验知识的阻抗控制器。通过设计合适的自适应律,该控制器可应对未知耦合力及系统参数不确定性。闭环系统稳定性经严格分析证明,实验结果在负载捕获场景中显示,整体稳定性和跟踪性能显著优于当前最先进的分块或完整系统柔顺阻抗控制器。

原文摘要 · Abstract (English)

Stable aerial manipulation during dynamic tasks such as object catching, perching, or contact with rigid surfaces necessarily requires compliant behavior, which is often achieved via impedance control. Successful manipulation depends on how effectively the impedance control can tackle the unavoidable coupling forces between the aerial vehicle and the manipulator. However, the existing impedance controllers for aerial manipulator either ignore these coupling forces (in partitioned system compliance methods) or require their precise knowledge (in complete system compliance methods). Unfortunately, such forces are very difficult to model, if at all possible. To solve this long-standing control challenge, we introduce an impedance controller for aerial manipulator which does not rely on a priori knowledge of the system dynamics and of the coupling forces. The impedance control design can address unknown coupling forces, along with system parametric uncertainties, via suitably designed adaptive laws. The closed-loop system stability is proved analytically and experimental results with a payload-catching scenario demonstrate significant improvements in overall stability and tracking over the state-of-the-art impedance controllers using either partitioned or complete system compliance.

阻抗控制无人机自适应控制空中操作

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