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JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE)
    
Optimal design of a hexapod robot leg structure based on target workspace
ZHU Ya-guang1, JIN Bo1, LI Wei1, LI Shi-tong1
The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027,China
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Abstract  

Considering the unnecessary leg dimension and energy consumption problem caused by the redundancy of the actual motion space of hexapod robot respect to the target workspace, an optimal design of the three joint structured leg with mammalian configuration was raised. The relationship between the target workspace and actual motion space was discussed. Thus, a general optimal mechanism design for the target workspace was proposed through the kinematics analysis of the foot tip. A mathematics model of nonlinear programming with inequality constraints was established, and Augmented Lagrangian Genetic Algorithm was used to find out the globally optimal solution. Through  the optimization, the structure dimension and joint rotation scope is dwindled obviously and the redundancy of the motion space is improved, And the results illustrate that the optimization can satisfy the demanding of the actual tasks and is in good manipulability. At last, the joint torque and system energy consumption is analyzed, which verified that with the requirement of turning and obstacle overcome satisfied, the total energy consumption can be reduced through decreasing the joint dimension and inertia.



Published: 26 November 2014
CLC:     
  TP 242  
Cite this article:

ZHU Ya-guang, JIN Bo, LI Wei, LI Shi-tong. Optimal design of a hexapod robot leg structure based on target workspace. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2014, 48(5): 770-776.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2014.05.003     OR     http://www.zjujournals.com/eng/Y2014/V48/I5/770


基于目标工作空间的六足机器人腿部结构优化

针对六足机器人实际运动空间相对于目标工作空间的冗余性对机器人腿部结构造成多余尺寸和能耗的问题,提出具有仿哺乳动物的三关节腿部结构的优化设计方法.分析讨论目标工作空间和实际运动空间之间的关系.通过对足端空间的运动学分析,提出基于目标工作空间的通用结构优化方法,建立不等式约束下的非线性规划的数学模型,并应用增广拉格朗日遗传算法来寻找全局优化解.通过优化,机器人的结构尺寸和关节转动范围明显减小,运动空间的冗余范围明显优于优化前.结果表明,该方法能够满足实际工作的要求并且具有较好的可操作性.而通过对于关节转矩和系统能耗的分析证明该方法能够在满足转向和越障的要求的前提下,通过减小自身关节尺寸和惯量,达到减小系统能耗的目的.

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