空間ベクトル代数によるValkyrieのシステム同定と制御
System Identification and Control of Valkyrie through SVA--Based Regressor Computation
空間ベクトル代数を用いてヒューマノイドValkyrieの慣性パラメータをオンライン同定し、モデルベース制御を実現する手法を提案・実験検証した論文。
著者: Shishir Kolathaya, Benjamin J. Morris, Ryan W. Sinnet, Aaron D. Ames
分類: math.OC, cs.DS, cs.RO, cs.SY, eess.SY
原文アブストラクト
This paper demonstrates simultaneous identification and control of the humanoid robot, Valkyrie, utilizing Spatial Vector Algebra (SVA). In particular, the inertia, Coriolis-centrifugal and gravity terms for the dynamics of a robot are computed using spatial inertia tensors. With the assumption that the link lengths or the distance between the joint axes are accurately known, it will be shown that inertial properties of a robot can be directly evaluated from the inertia tensor. An algorithm is proposed to evaluate the regressor, yielding a run time of $O(n^2)$. The efficiency of this algorithm yields a means for online system identification via the SVA--based regressor and, as a byproduct, a method for accurate model-based control. Experimental validation of the proposed method is provided through its implementation in three case studies: offline identification of a double pendulum and a $4$-DOF robotic leg, and online identification and control of a $4$-DOF robotic arm.
