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Optimal Design of an Orthogonal Generalized Parallel Manipulator Based on Swarm Particle Optimization Algorithm

机译:基于粒子群优化算法的正交广义并联机械手的优化设计。

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Study of methods to design optimal Gough-Stewart parallel manipulator geometries meeting orthogonality is of high interest. The paper will design the Orthogonal Generalized Gough-Stewart Parallel Manipulator (OGGSPM) based on the composite hyperboloids. Moreover, Particle Swarm Optimization (PSO) algorithm is introduced to perform the structure optimization as the Jacobian matrix condition number is used as the evaluation index. As an example, two different optimization cases are presented.
机译:设计满足正交性的最佳Gough-Stewart并联机械手几何方法的研究备受关注。本文将基于复合双曲面设计正交广义Gough-Stewart并行操纵器(OGGSPM)。此外,以雅可比矩阵条件数为评价指标,引入了粒子群优化算法进行结构优化。作为示例,提出了两种不同的优化情况。

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