SEA駆動パラレルキネマティックマニピュレータのピックアンドプレース作業におけるエネルギー最小化のための剛性と軌道の同時最適化
Simultaneous Stiffness and Trajectory Optimization for Energy Minimization of Pick-and-Place Tasks of SEA-Actuated Parallel Kinematic Manipulators
直列弾性アクチュエータで駆動されるパラレルロボットのピックアンドプレース動作について、固有振動を利用してエネルギーを最小化するため、動作軌道とアクチュエータ剛性を同時に最適化する手法を提案し、2つのロボット応用で有効性を確認した。
詳しい要約
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著者: Thomas Kordik, Hubert Gattringer, Andreas Mueller
分類: cs.RO, math.DS
原文アブストラクト
A major field of industrial robot applications deals with repetitive tasks that alternate between operating points. For these so-called pick-and-place operations, parallel kinematic manipulators (PKM) are frequently employed. These tasks tend to automatically run for a long period of time and therefore minimizing energy consumption is always of interest. Recent research addresses this topic by the use of elastic elements and particularly series elastic actuators (SEA). This paper explores the possibilities of minimizing energy consumption of SEA actuated PKM performing pick-and-place tasks. The basic idea is to excite eigenmotions that result from the actuator springs and exploit their oscillating characteristics. To this end, a prescribed cyclic pick-and-place operation is analyzed and a dynamic model of SEA driven PKM is derived. Subsequently, an energy minimizing optimal control problem is formulated where operating trajectories as well as SEA stiffnesses are optimized simultaneously. Here, optimizing the actuator stiffness does not account for variable stiffness actuators. It serves as a tool for the design and dimensioning process. The hypothesis on energy reduction is tested on two (parallel) robot applications where redundant actuation is also addressed. The results confirm the validity of this approach.
