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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调节器的平面双足机器人的站立稳定性和踩踏动作

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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:本文的目的是回答(i)如何在某个不变的支撑区域上评估Biped控制器的稳定性能,(ii)如何设计在给定的支撑区域上表现最佳的站立稳定器,( iii)如何在不使当前支撑区域变形的情况下如何判断系统是否能由最佳站立稳定器稳定,以及(iv)如果认为有必要,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,判断支撑区域是否需要变形以稳定系统以及根据站立稳定条件操纵步进运动的标准,该标准也在本文中进行了定义。发现可以通过简单的极点分配技术来设计最佳的稳定器。该框架统一了两足动物的站立稳定性和踏步稳定性,这在常规研究中已被单独考虑。讨论在近似平面COM-ZMP模型上进行,其中总质量集中在质心,ZMP的位置被视为输入。尽管它是两足动物的最简单的动力学模型,但它可以隐藏身体构造的差异并代表宏观动力学。因此,本文不仅有助于两足动物机器人控制器的设计,而且还有助于生物力学分析。

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