机械科学与技术2017，Vol.36Issue(4)：519-526,8.DOI:10.13433/j.cnki.1003-8728.2017.0405
改进质量损失函数的多响应稳健优化设计
A New Method for Multi-response Robust Optimization based on Improved Quality Loss Function
摘要
Abstract
Because the conventional multi-response optimization methods rarely consider the optimization and the robustness simultaneously and tend to overlook the quality loss of multiple responses,we propose a new method of multi-response robust optimization based on the improved quality loss function to achieve the robustness and optimization of multiple responses by introducing the dual response surface method.With the dual response surface method and the multivariate loss function combined,the new method considers both the mean and variance of multiple responses.Firstly,the regression equation of the mean and standard deviation of multiple responses are fitted and are incorporated into the multivariate quality loss function.Secondly,the subjective and objective weight theory is used to set the weights of quality losses of mean and standard deviations of each response.Finally,the multi-response robust and optimal problem is transformed into the minimization of overall quality loss.The hyperbolic flexure hinge in the cell injection 3-DOF compliant parallel micro motion platform is used to prove the effectiveness of the new method.The analysis results show that the new method can more effectively solve multi-response robust optimization problems.关键词
多变量质量损失函数/双响应曲面方法/主客观权重/多响应稳健优化Key words
multivariate loss function/dual response surface method/subjective and objective weight theory/multiple-response robust optimization分类
机械制造引用本文复制引用
伍建军,谢周伟,黄裕林,吴小明..改进质量损失函数的多响应稳健优化设计[J].机械科学与技术,2017,36(4):519-526,8.基金项目
国家自然科学基金项目(51365015)、省教育厅(GJJ13416)及省科技厅(20142BBE50058)科技项目资助 （51365015）
