运动学
计算机科学
冗余(工程)
控制理论(社会学)
职位(财务)
约束(计算机辅助设计)
反向动力学
自由度(物理和化学)
算法
人工智能
工程类
机器人
机械工程
控制(管理)
操作系统
物理
经济
经典力学
量子力学
财务
作者
Yao Jiang,Tiemin Li,Liping Wang
出处
期刊:Robotica
[Cambridge University Press]
日期:2014-02-27
卷期号:33 (2): 241-263
被引量:24
标识
DOI:10.1017/s0263574714000265
摘要
SUMMARY This paper discusses a planar 2-DOF (degrees of freedom) parallel kinematic machine with actuation redundancy. Its inverse dynamic model is constructed by utilizing the Newton–Euler method based on the kinematic analysis. However, the dynamic model cannot be solved directly because the number of equations is less than the number of unknowns, which is due to the redundant force. In order to solve this problem, the relationship between the deformations of the links and the position errors of the moving platform are further explored. Then a novel method, which aims at minimizing the position errors of the machine, is proposed to optimize the redundant force. It also enables to solve the dynamic model. Finally, the dynamic performance analyses of this machine and its non-redundant counterpart are provided by numerical examples. Besides, another optimization method proposed for minimizing the constraint forces is also applied for comparison. The results show the effectiveness of the novel methods in improving the position precision of the machine.
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