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

机译:基于群粒子优化算法的正交广义并联机械手的最优设计

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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:对设计的方法的研究最佳GOUGH-Stewart并行机械手几何形状与正交性高。本文将基于复合双曲线曲线设计设计正交广泛的GOUGH-Stewart并联机械手(oggspm)。此外,引入了粒子群优化(PSO)算法以执行结构优化,因为雅各比矩阵条件号被用作评估索引。作为示例,提出了两个不同的优化案例。

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