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一种基于遗传算法的多机器人内力优化计算方法 被引量:3

OPTIMAL INTERNAL FORCE COMPUTING SCHEME FOR MULTIPLE MANIPULATORS USING GENETIC ALGORITHMS
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摘要 本文在对多机器人静力分析的基础上 ,考虑最大作用力约束和点接触静摩擦约束 ,提出了一种采用混合遗传 -模拟退火算法的内力优化计算方法 ,并通过 2个平面机器人夹持一负载的仿真实验 ,给出了内力和负载分配的优化计算结果 . In this paper, based on analysis of static forces for multiple manipulators, a c omputing scheme for dynamic optimal internal force is presented by mixed genetic - simulated annealing algorithms, in which the maximum force constraints and t he static frictional constraints at contacts points are considered as optimizing conditions. Optimal computing results of internal force and load distribution a re given by the simulation of planar dual manipulators holding a load.
出处 《机器人》 EI CSCD 北大核心 2000年第4期276-281,共6页 Robot
基金 中国科学院机器人学开放研究实验室基金
关键词 多机器人 内力 遗传算法 优化 计算方法 Multiple manipulators, internal force , genetic algorithms, simulated annealing, algorithms , global optimization
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