🤖 AI Summary
This study addresses the insufficient understanding and exploitation of passive mechanical responses of cable-suspended payloads during aerial manipulation. By treating the aerial vehicle as a mobile flexible anchor, we propose a gravity-aware quasi-static theory to predict and shape the payload’s passive Cartesian stiffness. Methodologically, an axial-transverse stiffness decomposition mechanism is revealed, and a nonlinear mapping from anchor configurations to payload stiffness is established. These elements are integrated with quasi-static modeling, series-parallel stiffness analysis, and nonlinear control into a comprehensive framework. Ultimately, constraint-preserving reshaping of payload stiffness is achieved through anchor repositioning. Furthermore, the robust predictive capability of the proposed model is validated even under conditions that exceed its theoretical assumptions.
📝 Abstract
Cable-suspended aerial manipulation offers a lightweight architecture for cooperative transportation and physical interaction, yet the passive mechanical response perceived at the load remains insufficiently understood and systematically exploited. This work interprets aerial vehicles as movable compliant anchors and develops a gravity-aware quasi-static theory for predicting and shaping the passive Cartesian stiffness of a suspended load. The formulation applies to an arbitrary number of aerial vehicles connected to a point load by taut, straight, inextensible cables. At a selected gravity-loaded equilibrium, aerial-anchor compliance and transverse cable geometric compliance combine in series within each leg, while the leg stiffnesses act in parallel on the load. For isotropic aerial-anchor behavior, each leg is exactly equivalent to a virtual unilateral elastic cable, revealing an axial--transverse stiffness decomposition governed by the equilibrium tension. These results define a nonlinear map from commanded-anchor configuration to passive load stiffness, whose differential enables local constraint-preserving shaping through anchor repositioning. A dynamic rigid-body validation framework with nonlinear vehicle control, elastic-damped tendons, and environmental contact is defined to assess when and to what extent the derived stiffness remains predictive beyond the assumptions of the analytical model.