论文部分内容阅读
为解决操纵器排列中采用经验法存在的排列依据难以追溯、排列结果因人而异的问题,本文提出了基于模拟退火算法的操纵器排列优化方法。研究中以操纵器的重要性、使用频率和操作次序工效学排列原则作为模拟退火算法的优化变量,以操纵器综合权值的倒数作为优化目标函数,建立了基于模拟退火算法的操纵器排列优化数学模型,并进行实例研究,得到确定的排列结果。研究表明,该方法的排列依据科学,排列过程可追溯,排列结果最优。
In order to solve the problem that the permutation basis of empirically method used in manipulator arrangement is difficult to trace and the permutation result varies from person to person, this paper presents a manipulator permutation optimization method based on simulated annealing algorithm. In this study, the importance of the manipulator, the frequency of use and the order of ergonomics in the order of operation were used as optimization variables of the simulated annealing algorithm. The reciprocal of the weight of the manipulator was taken as the optimization objective function, and the manipulator arrangement optimization was established based on the simulated annealing algorithm Mathematical model, and case studies, to determine the results of the arrangement. The research shows that the arrangement of the method is based on science and the process of arrangement can be traced, and the arrangement is optimal.