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Adaptive control of mixed rigid/flexible joint robot manipulators based on virtual decomposition

机译:基于虚拟分解的刚柔混合机器人混合机器人的自适应控制

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A modular approach, called virtual decomposition, is applied to adaptive control of robot manipulators with mixed rigid/flexible joints. The system is virtually decomposed into the held object, the links, and the rigid/flexible joints. Each subsystem is controlled independently with decentralized parameter adaptation, while the dynamic interactions between the subsystems are completely represented by virtual power flows (VPFs) which are independent of the dynamics of the subsystems. The equivalence between a rigid joint control and a flexible joint control is established, since they dedicate the same dynamic interactions with their connecting links. Each subsystem is assigned a nonnegative accompanying function which takes care of its dynamics. The system Lyapunov function is formed by considering the VPFs without considering the dynamics of the subsystems. Lyapunov asymptotic stability is guaranteed. Finally, simulation results are presented.
机译:一种称为虚拟分解的模块化方法被应用于具有混合的刚性/柔性关节的机器人操纵器的自适应控制。该系统实际上分解为固定的物体,链节和刚性/柔性接头。每个子系统都通过分散的参数自适应控制,而子系统之间的动态交互完全由虚拟功率流(VPF)表示,而虚拟功率流与子系统的动力学无关。建立了刚性关节控制和柔性关节控制之间的等效关系,因为它们与它们的连接连杆共同致力于相同的动态相互作用。为每个子系统分配了一个非负伴随函数,该函数负责其动态性。系统Lyapunov功能是通过考虑VPF而不考虑子系统的动态性而形成的。保证Lyapunov的渐近稳定性。最后,给出了仿真结果。

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