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Standing Stabilizability and Stepping Maneuver in Planar Bipedalism based on the Best COM-ZMP Regulator

机译:基于最佳COM-ZMP稳压器的平面双层主义站立稳定性和步进机动

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The goal of this paper is to answer (i) how the stabilization performance of a biped controller can be evaluated on a certain invariant supporting region, (ii) how the standing stabilizer which performs the best on a given supporting region can be designed, (iii) how the system can be judged if it is stabilizable by the best standing stabilizer without deforming the current supporting region, and (iv) how the supporting region should be deformed if it is judged to be necessary. In order to answer these question, the stable standing region is defined. It gives a criterion to design the best standing stabilizer, to judge if the deformation of the supporting region is necessary to stabilize the system, and to maneuver the stepping motion in accordance with the standing stabilizability condition, which is also defined in the paper. It is found that the best standing stabilizer can be designed by a simple pole-assignment technique. This framework unifies the standing stability and the stepping stability of bipedalism, which have been separately considered in conventional studies. The discussion goes on an approximate planar COM-ZMP model, in which the total mass is concentrated at the center of mass, and the position of ZMP is regarded as the input. Though it is the simplest dynamical model of bipeds, it can conceal differences of body constitutions and represent the macroscopic dynamics. Therefore, this paper contributes to not only the biped robot controller design but also the biomechanical analyses.
机译:本文的目标是回答(i)如何在一定不变的支持区域上评估Biped控制器的稳定性能,(ii)如何设计在给定支撑区域上执行最佳的站立稳定器( III)如果通过最佳站立稳定器稳定,则如何判断系统,而不会使电流支撑区域变形,并且(iv)如果判断需要,应如何使支撑区域变形。为了回答这些问题,定义了稳定的站立区域。它给出了设计最佳站立稳定器的标准,以判断支撑区域的变形是必要的,以稳定系统,并根据纸张中的稳定性条件操纵步进动作,这也是在纸张中定义的。结果发现,最好的站立稳定器可以通过简单的极点分配技术设计。该框架统一了BipeDalism的站立稳定性和步进稳定性,其在常规研究中被单独考虑。讨论在近似平面COM-ZMP模型上,其中总质量集中在质心的中心,并且ZMP的位置被视为输入。虽然它是Biped的最简单动态模型,但它可以隐藏身体构成的差异并代表宏观动态。因此,本文不仅有助于Biped机器人控制器设计,也有助于生物力学分析。

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