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首页> 外文期刊>Ingenieria y Ciencia >Optimization of Manipulability and Electricity Consumption Through the Heuristic Kalman Algorithm in Serial Manipulators
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Optimization of Manipulability and Electricity Consumption Through the Heuristic Kalman Algorithm in Serial Manipulators

机译:启发式卡尔曼算法在串行机械手中的可操作性和耗电量的优化。

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In the present work a path planning methodology for serial anthropomorphicmanipulator with six degrees of freedom with spherical wrist focusedon minimizing power consumption and maximizing the manipulability isproposed. To achieve this end, an optimization algorithm is developedwhich is based on the Heuristic Kalman Algorithm (HKA), and aims tofind the optimal path according to the proposed multi-objective functionwithin a proposed simplified spherical space. The optimization algorithm isevaluated by analyzing the behavior of two paths in the PUMA 560 robot,simulated in a program developed in Visual Basic belongs to AutodeskInventor software.MCS: 80M50
机译:在目前的工作中,提出了一种具有六个自由度,球形手腕的串行拟人操纵器的路径规划方法,其重点是使功耗最小化和可操纵性最大化。为此,开发了一种基于启发式卡尔曼算法(HKA)的优化算法,旨在根据所提出的多目标函数在拟议的简化球面空间内找到最优路径。通过分析PUMA 560机器人中两条路径的行为来评估优化算法,该仿真是在Visual Basic开发的属于AutodeskInventor软件的程序中进行仿真的。MCS:80M50

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