Non-horizontal ricochetal brachiation motion planning and control for two-link Bio-primate robot

D. Wan, Hongtai Cheng, Guangfei Ji, Shuai Wang
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引用次数: 14

Abstract

Ricochetal Brachiation is a sophisticated locomotion for Bio-primate robot. It requires precise cooperation of three different types of locomotion. The tight coupling of locomotion and underactuated characteristics is the main difficulties for realizing ricochetal brachiation. Moreover, for the non-horizontal ricochetal brachiation, which refers brachiating among supporting bars with different heights, another difficulty orients from the asymmetric property of the flight trajectory. To solve the locomotion coupling problem, by building and analyzing the segmented dynamic and kinematic models and considering the constraint and switching condition, this paper proposes a flexible, comprehensive and adaptive ricochetal brachiation motion planning algorithm to obtain the pre-flying posture and post-flying posture. Also, the horizontal and vertical differences between adjacent supporting bars are modeled and included, which makes the algorithm applicable for general configurations. To eliminate the difficulty brought by under-actuated characteristics, virtual constraint based trajectory planning and tracking control method is adopted to ensure that the system can arrive in the pre-flying posture accurately. Finally, a ricochetal brachiation simulation model is built and the results show the effectiveness of the proposed trajectory planning and control strategy.
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双连杆仿生灵长类机器人非水平跳弹臂运动规划与控制
跳臂运动是生物灵长类机器人的一种复杂运动。它需要三种不同运动的精确配合。运动特性和欠驱动特性的紧密耦合是实现跳弹臂屈曲的主要困难。此外,对于不同高度支撑杆之间的非水平弹跳摆动,另一个难点来自于飞行轨迹的不对称特性。为解决运动耦合问题,通过建立和分析分段动力学和运动学模型,并考虑约束和切换条件,提出了一种灵活、全面、自适应的跳弹臂运动规划算法,以获得飞前姿态和飞后姿态。此外,还对相邻支承杆之间的水平和垂直差异进行了建模和计算,使该算法适用于一般配置。为消除欠驱动特性带来的困难,采用基于虚拟约束的轨迹规划与跟踪控制方法,保证系统能准确到达预飞姿态。最后,建立了弹跳振荡仿真模型,结果表明了所提轨迹规划和控制策略的有效性。
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