基于执行器能量消耗的并联机器人优化 |
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作者姓名: | 陈 珂 柯文德 刘 美 张良均 |
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作者单位: | 广东石油化工学院计算机与电子信息学院,广东 茂名,525000,广东石油化工学院计算机与电子信息学院,广东 茂名,525000,广东石油化工学院计算机与电子信息学院,广东 茂名,525000,广州太普信息技术有限公司,广东 广州,510663 |
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基金项目: | 国家自然科学基金资助项目(61272382);广东省科技计划项目(2012B010100037,2014A010104016);广东省高等学校学科与专业建设专项资金科研类项目(2013KJCX0132,2013KJCX0133);广东省高等学校高层次人才项目(粤财教[2013]246号152);广东省云机器人(石油化工)工程技术研究中心开放基金资助项目(650007). |
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摘 要: | 并联机器人在执行任务过程中的能量消耗特别严重,为此本文以其3个主动执行器的电能消耗最小化为目标对3-RRR平面并联机器人进行尺度优化。在3-RRR机构运动学分析的基础上推导出机构的逆运动学方程,分析了3-RRR机构常见的4种工作模式。采用粒子群算法确定3-RRR机构的连杆和平台质量的最优值。根据优化结果进行仿真和对比分析,结果表明,在4种工作模式下,优化后执行器的力矩值均较小,消耗的电能得以降低,其中工作模式2的性能最佳,在执行相同的轨迹跟踪任务时,其执行器跟踪误差收敛较快,消耗的能量最少。
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关 键 词: | 机器人 并联机器人 3-RRR机构 逆运动学 执行器 能耗 粒子群优化算法 仿真 |
收稿时间: | 2015/10/23 0:00:00 |
Optimization of parallel robot based on energy consumption of the actuators |
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Authors: | Chen Ke Ke Wende Liu Mei and Zhang Liangjun |
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Institution: | College of Computer and Electronic Information,Guangdong University of Petrochemical Technology, Maoming 525000, China,College of Computer and Electronic Information,Guangdong University of Petrochemical Technology, Maoming 525000, China,College of Computer and Electronic Information,Guangdong University of Petrochemical Technology, Maoming 525000, China and Guangzhou TipDM Information Technology Co., Ltd., Guangzhou 510663, China |
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Abstract: | Parallel robots consume much energy when performing tasks, so this paper conducted the dimensional optimization of 3-RRR planar parallel robot in order to minimize the power consumption of the three active actuaors. The inverse kinematics equations of 3-RRR mechanism were given on the basis of kinematic analysis and its four common working modes (WM) were studied. The optimal masses of connecting rods and platform were determined by particle swarm algorithm. Simulation and contrastive analysis according to the optimization results reveal that, at the four woring modes, torque values of the optimized actuators are all small and the power consumptions are reduced. At WM2,3-RRR mechanism has the best performance, tracking errors of the actuators converge more quickly and the actuators consume the least energy when the robot performs the same trajectory tracking task. |
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Keywords: | robot parallel manipulator 3-RRR mechanism inverse kinematics actuator energy consumption particle swarm optimization simulation |
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