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Different-level two-norm and infinity-norm minimization to remedy joint-torque instability/divergence for redundant robot manipulators

机译:不同级别的二范数和无穷范数最小化,以纠正冗余机器人操纵器的关节转矩不稳定性/发散度

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摘要

To remedy the joint-torque instability/divergence phenomenon arising in the conventional infinity-norm torque-minimization (INTM) scheme, and prevent the occurrence of high joint-velocity and joint-acceleration as well, a different-level bi-criteria minimization scheme is proposed and investigated in this paper for redundant robot manipulators with physical constraints (e.g., joint-angle limits, joint-velocity limits and joint-acceleration limits) considered. Such a scheme combines the minimum two-norm joint-velocity and infinity-norm joint-torque solutions via a weighting factor, which guarantees the final joint-velocity of the motion to be near zero (more acceptable for engineering application). In addition, the different-level scheme is reformulated as a general quadratic program (QP) and resolved at the joint-acceleration level. Computer-simulation results based on the PUMA560 robot manipulator further demonstrate the effectiveness and advantages of the proposed different-level bi-criteria minimization scheme for robotic redundancy resolution.
机译:为了纠正传统的无穷规范扭矩最小化(INTM)方案中出现的关节转矩不稳定性/发散现象,并防止出现较高的关节速度和关节加速度,采用了不同级别的双准则最小化方案本文提出并研究了考虑了物理约束(例如,关节角度极限,关节速度极限和关节加速度极限)的冗余机器人操纵器。这样的方案通过加权因子将最小二范关节速度和无穷范关节扭矩解决方案组合在一起,从而确保运动的最终关节速度接近零(对于工程应用更可接受)。此外,将不同级别的方案重新构造为一般的二次程序(QP),并在联合加速级别进行解析。基于PUMA560机器人操纵器的计算机仿真结果进一步证明了所提出的用于机器人冗余解析的不同级别双准则最小化方案的有效性和优势。

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