摘要
针对直纹曲面上喷漆机器人的喷枪轨迹多目标优化问题,通过平面喷漆实验,采集各点膜厚数据,运用MATLAB遗传算法工具箱拟合β分布,建立直纹曲面漆膜厚度生长模型.将曲面离散为点集,采用三次B样条曲线拟合生成初始喷枪轨迹.以曲面上各点漆膜厚度均匀和喷涂效率高为目标建立喷枪轨迹多目标优化模型,并采用改进的快速非支配排序遗传算法对该模型求解,获得喷枪轨迹最优解集,最终实现了直纹曲面喷枪轨迹的优化目标.通过实例结果对比验证了该方法的有效性和实用性.
To solve the problem of multi-objective tool trajectory of painting robot for ruled surface the fitting film thickness data were collected from the planar painting experiment. By using the MATLAB genetic algorithm toolbox, theβ distribution was obtained. The paint thickness growth model for ruled surface was established based on the planar paint thickness distribution. The surface was discretized into a set of points, and the tool path was fitted by the cubic B spline curve. A multi-objective optimization model was built aimed to get uniform paint thickness on curved surface and high painting efficiency, and an improved fast and elitist non-dominated sorting genetic algorithm （NSGA- Ⅱ ） was applied to solve the model. A serial of trajectory optimization schemes were presented. Finally, the trajectory optimization purpose on ruled surface was realized. The case result was compared to verify the effectiveness and practicability of the proposed method.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2018年第3期359-367,共9页
Journal of Tongji University:Natural Science
基金
上海市经济和信息化委员会资助项目(沪CXY-2013-25)
上海市科学技术委员会资助项目(14111104400)
关键词
多目标优化
喷漆机器人
直纹曲面
快速非支配排序遗传算法
multi-objective optimization
painting robot
ruled surface
fast and elitist non-dominated sortinggenetic algorithm
作者简介
马淑梅（1967-），女，副教授，硕士生导师，工学博士，主要研究方向为数字化设计与制造、逆向工程技术和快速原型制造技术．E-mail：mashumei@tongji．edu．cn;通讯作者：谢涛（1993-），男，硕士生，主要研究方向为数字化制造技术．E-mail：1530855@tongji．edu．cn
