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ROBUST, NON-OVERSHOOTING CONTROL OF A RIGID ROTATING LINK USING EXPONENTIAL SEGMENTATION

机译:刚性旋转链接的指数分段分段控制

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摘要

Exponential pyramid architecture plays a key role in human visual processing, as well as in learned muscle movement. Attempting to mimic the human capacity for making rapid minimally-overshooting movements, a variant of exponential pyramid architecture, called exponential segmentation, is utilized to develop a methodology for controlling the response of rigid links to step inputs. The resulting method consists of issuing iterative open-loop commands, each of which are guaranteed not to overshoot the desired target. Each time the mechanism comes to a stop, a new open loop command is issued that again drives the mechanism toward the desired final position without overshoot. Since this method always undershoots the target, the process is repeated until the link is within a specified interval of the desired final position. Using this framework, a designer can easily make tradeoffs between response and robustness, as this method is robust with respect to input perturbations, pivot friction, link inertia and damping rates. Furthermore, this method can be implemented using positional measurement alone.
机译:指数金字塔结构在人类视觉处理以及学习到的肌肉运动中起着关键作用。为了模仿人类进行最小限度的快速超调动作的能力,一种称为指数分段的指数金字塔结构变体被用来开发一种方法,用于控制刚性链接对阶跃输入的响应。生成的方法包括发出迭代的开环命令,保证每个命令都不会超出期望的目标。每次机构停止时,都会发出新的开环命令,再次将机构驱动到所需的最终位置而不会出现过冲。由于此方法始终会低于目标,因此将重复此过程,直到链接位于所需最终位置的指定间隔内。使用此框架,设计人员可以轻松地在响应和鲁棒性之间做出折衷,因为该方法在输入扰动,枢轴摩擦,连杆惯性和阻尼率方面均很鲁棒。此外,可以仅使用位置测量来实现该方法。

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