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Robust adaptive attitude synchronisation of rigid body networks on SO(3)

机译:基于 SO 的刚体网络的鲁棒自适应姿态同步(3)

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In this study, the authors consider the robust adaptive attitude synchronisation problem for a network of rigid body agents using a modified version of the error function, which is recently introduced for constructing the attitude errors on (3). These attitude error vectors are particularly useful for networks with large initial attitude difference. They focus on devising an adaptive geometric approach to cope with situations where the inertia matrices are not available for measurement. The Frobenious norm is used as a measure for the difference between the actual values of moments of inertias and their estimated values, to construct the individual adaptive laws of agents. Compared to the previous methods for synchronisation on (3) such as those using quaternions, the authors' approach based on the introduced modified error function enables us to avoid any ambiguity for attitude representation. Finally, they study the robustness of the synchronisation task in the presence of external disturbances and unmodelled dynamics and propose a method to attenuate such effects. Simulation results illustrate the effectiveness of the proposed approach.
机译:在这项研究中,作者考虑了使用修正函数的误差函数对刚体代理网络的鲁棒自适应姿态同步问题,该问题最近被引入来构造(3)上的姿态误差。这些姿态误差向量对于初始姿态差较大的网络特别有用。他们专注于设计一种自适应几何方法,以应对惯性矩阵不可用于测量的情况。 Frobenious范式用于衡量惯性矩的实际值与其估计值之间的差,以构造代理的各个自适应定律。与先前的在(3)上进行同步的方法(例如使用四元数的方法)相比,基于引入的修正误差函数的作者方法使我们避免了姿态表示的任何歧义。最后,他们研究了存在外部干扰和未建模动力学时同步任务的鲁棒性,并提出了一种减轻此类影响的方法。仿真结果说明了该方法的有效性。

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