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A genetic algorithm approach for parameter optimization of a 7DOF robotic manipulator

机译:7DOF机械臂参数优化的遗传算法

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In this paper the problem of dynamic modeling and parameter estimation of a seven degree of freedom hydraulic manipulator is investigated. The numerical model is developed in Simulink using Sim Mechanic and Simscape toolboxes with unknown/uncertain parameters. The aim of this paper is to develop a mechanism that enables us to find a feasible set of parameters for the robot that is consistent with measurements of the input, output, and states of the system under noisy and unknown operating conditions. As the first step a genetic algorithm is developed to solve an output error system identification problem for a specific joint, i.e. joint 2, such that the parameters of the joint converge to the desired set of parameters within an acceptable accuracy. The results can be straightforwardly extended to all joints of the manipulator.
机译:本文研究了七自由度液压机械手的动力学建模和参数估计问题。在Simulink中,使用具有未知/不确定参数的Sim Mechanic和Simscape工具箱开发了数值模型。本文的目的是开发一种机制,使我们能够为机器人找到一套可行的参数,该参数与在嘈杂和未知操作条件下对系统的输入,输出和状态的测量结果保持一致。作为第一步,开发了遗传算法来解决特定关节即关节2的输出误差系统识别问题,以使关节的参数在可接受的精度内收敛到所需的参数集。结果可以直接扩展到机械手的所有关节。

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