首页|狭长空间内重载调姿装配机器人的设计与研究

狭长空间内重载调姿装配机器人的设计与研究

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针对舱体类狭长空间内部待安装设备种类多、批量大、载荷重、空间余量微小、装配路径复杂、装配风险高等问题,设计了 一种重载调姿装配机器人.在机器人运动学研究的基础上,建立了误差模型,并以最小包围球半径为约束条件,通过遗传算法将误差参数的辨识结果补偿到机器人控制系统.以机柜装配为例,针对空间约束条件规划工作路径,基于动力学约束能耗函数模型,以时间、冲击和能耗为优化目标,得到多 目标最优轨迹.样机实验验证了误差参数辨识的有效性,减小了机器人的绝对定位误差,且多 目标最优轨迹的关节总冲击小、运动平稳,实现了机柜类设备高效、平稳、可靠的安装.
Design and Research of Heavy-duty Posture-adjusting Assembly Robots in Narrow Space
In response to the issues of a wide variety of equipment,large batches,heavy payloads,limited space,complex assembly paths,and high assembly risks inside the cabin,a heavy-duty posi-tioning and assembly robot was designed.Based on the study of the robot kinematics,an error model was established.With the radius of minimum bounding sphere as the constraint condition,the identification results of error parameters by genetic algorithm were compensated into the robot control system.Taking cabinet assembly as an example,a working path was planned based on spatial con-straint conditions.By a dynamic constraint energy consumption function model,multi-objective opti-mal trajectories were obtained with time,impact,and energy consumption as optimization objectives.Prototype testing verified the effectiveness of the error parameter identification,which reduces the ab-solute positioning errors of the robot.Moreover,the multi-objective optimal trajectory has a small to-tal joint impact and smooth motion,achieving efficient,smooth,and reliable installation of cabinet-type equipment.

assembly robotkinematics modelingmulti-objective optimizationerror compensa-tion

刘毅、易旺民、姚建涛、王兴达、余鹏、赵永生

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燕山大学河北省并联机器人与机电系统实验室,秦皇岛,066004

中国空间技术研究院总装与环境工程研究所,北京,100094

装配机器人 运动学建模 多目标优化 误差补偿

国家自然科学基金国家自然科学基金

U203720252075466

2024

中国机械工程
中国机械工程学会

中国机械工程

CSTPCD北大核心
影响因子:0.678
ISSN:1004-132X
年,卷(期):2024.35(2)
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