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Inertia Tensor Properties in Robot Dynamics Identification: A Linear Matrix Inequality Approach

机译:机器人动力学识别中的惯性张量特性:线性矩阵不等式方法

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摘要

Physical feasibility of robot dynamics identification is currently receiving renovated attention from the research community. Inertia tensor inequalities (namely the positive definite property) have been extensively used among other physical constraints to check physical consistency of identification methods. Recently, an extra inequality associated to inertia tensor eigenvalues has been included to check physical consistency, showing that the previous methods were incomplete. In this paper we show that this extra inequality incorporates the positive definite property, being more restrictive. We also include it in the linear matrix inequality framework for robot dynamics identification to obtain fully physical estimates. The relevance of the extra inequality is verified through real 7-DOF robot manipulator experiments.
机译:机器人动力学识别的物理可行性目前正受到研究界的关注。惯性张量不等式(即正定性)已广泛用于其他物理约束条件中,以检查识别方法的物理一致性。最近,已经包括了与惯性张量特征值相关的额外不等式,以检查物理一致性,这表明以前的方法是不完整的。在本文中,我们证明了这种额外的不等式具有正定性,但具有更大的限制性。我们还将其包含在线性矩阵不等式框架中,以进行机器人动力学识别以获得完全的物理估计。通过实际的7自由度机器人操纵器实验验证了额外不等式的相关性。

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