喷漆机器人喷漆工艺分析及优化研究  

Study on Technology and Optimization of Robotic Spray Painting

作　　者：孟慧杰[1] 尹志新[1] 

机构地区：[1]广西大学机械工程学院,广西南宁530004

出　　处：《机械与电子》2009年第4期3-6,共4页Machinery & Electronics

基　　金：国家自然科学基金资助项目(50765001);广西教育厅科研资助项目(200708 M5028);广西科技厅科技创新能力资助项目(0815011-6-6)

摘　　要：根据现今汽车行业的质量标准,分析了汽车喷涂工艺过程中的实际工作条件,建立带约束条件的多目标优化问题的数学模型,并选取用时最短和漆膜厚度方差最小为目标函数,利用非劣排序遗传算法(NSGA-Ⅱ)的优化方法,得到pareto最优解集.结果表明该优化算法能有效地解决多目标非线性约束优化问题.The spray-painting robots has been widely applied in auto industry and the application research on painting engine becomes increasingly important in the theory and practice. According to material thickness distribution and trajectory, this paper discusses the optimal time and optimal material thickness of robotic spray painting. A genetic algorithm was advanced to solve the multi - objective optimization problem. The result show that we can control parameters to achieve the minimum time and minimum material thickness deviation.

关 键 词：喷漆机器人 β分布 多目标优化 遗传算法 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]