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Bi-criteria minimization with MWVN–INAM type for motion planning and control of redundant robot manipulators

机译:MWVN–INAM类型的双准则最小化,用于冗余机器人机械手的运动计划和控制

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This study proposes and investigates a new type of bi-criteria minimization (BCM) for the motion planning and control of redundant robot manipulators to address the discontinuity problem in the infinity-norm acceleration minimization (INAM) scheme and to guarantee the final joint velocity of motion to be approximate to zero. This new type is based on the combination of minimum weighted velocity norm (MWVN) and INAM criteria, and thus is called the MWVN-INAM-BCM scheme. In formulating such a scheme, joint-angle, joint-velocity, and joint-acceleration limits are incorporated. The proposed MWVN-INAM-BCM scheme is reformulated as a quadratic programming problem solved at the joint-acceleration level. Simulation results based on the PUMA560 robot manipulator validate the efficacy and applicability of the proposed MWVN-INAM-BCM scheme in robotic redundancy resolution. In addition, the physical realizability of the proposed scheme is verified in practical application based on a six-link planar robot manipulator.
机译:这项研究提出并研究了一种用于冗余机器人操纵器运动规划和控制的新型双准则最小化(BCM),以解决无穷规范加速度最小化(INAM)方案中的不连续性问题并确保最终的联合速度。运动近似为零。这种新类型基于最小加权速度规范(MWVN)和INAM标准的组合,因此被称为MWVN-INAM-BCM方案。在制定这种方案时,要考虑关节角度,关节速度和关节加速度的限制。拟议的MWVN-INAM-BCM方案被重新表述为在联合加速级解决的二次规划问题。基于PUMA560机器人操纵器的仿真结果验证了所提出的MWVN-INAM-BCM方案在机器人冗余分辨率中的有效性和适用性。另外,基于六连杆平面机器人操纵器,在实际应用中验证了所提方案的物理可实现性。

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