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Optimization Design of Planar Five-bar Parallel Robot's Bar Length

机译:平面五杆并联机器人条长度的优化设计

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摘要

The target movement range of planar five-bar parallel robot is decided by the length of each bar and swinging angle. In general designs are bound by the single-objective optimization. Scope of the overall movement is considered as the goal of optimization. Although this method may seek all the possible movement scope completely, but has actually neglected the restraint of mechanical hinge structure. To determine the length in this way there are interference and stuck phenomenon. To address this issue in this paper the bounds of mechanical structure are added in. A new set of optimization algorithms is established. Analytical method is used to establish the algorithm of planar five-bar parallel robot's positive solution. Then MATLAB is used to obtain the positive solutions of target movement range. Generally under unconstrained circumstances, we found that there are two positive solutions and mutual symmetry on the x-axis. After adding in the restriction of swinging angle, we succeed in finding the optimal solutions. Finally we use an example to explain how it works. MATLAB is used to determine the length of each bar and found a 200 × 150 mm of the target movement range. Through the diagram has been plotted by MATLAB, we find that the second solution is the optimal solution. This method can be used to optimize the length of planar five-bar parallel robot.
机译:平面五条平行机器人的目标移动范围由每个条的长度和摆动角度决定。在一般设计中,由单目标优化束缚。整体运动的范围被认为是优化的目标。虽然这种方法可以完全寻求所有可能的运动范围,但实际上忽略了机械铰链结构的束缚。以这种方式确定长度有干扰和卡住现象。在本文中解决此问题,添加了机械结构的界限。建立了一组新的优化算法。分析方法用于建立平面五杆并联机器人阳性解决方案的算法。然后,MATLAB用于获得目标运动范围的正解。一般在不受约束的情况下,我们发现X轴上有两个正解和相互对称性。在加入摆动角度的限制之后,我们成功地找到了最佳解决方案。最后,我们使用一个例子来解释它是如何工作的。 MATLAB用于确定每个杆的长度,并发现目标运动范围的200×150mm。通过MATLAB绘制了该图,我们发现第二种解决方案是最佳解决方案。该方法可用于优化平面五杆并联机器人的长度。

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