基于网格变形技术的机枪三脚架多目标响应面优化

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摘要针对使用过程中枪架弹性变形过大影响射击精度问题，提出网格变形、Plackett-Burman试验设计、多目标优化相结合提高枪架刚度的解决方案。利用网格变形技术定义形状变量，据Plackett-Burman试验设计筛选对目标函数显著度高的形状变量；采用优化拉丁方试验设计对整个设计空间均匀采样，据样本点拟合高精度Kriging响应面模型；以三脚架质量为约束，轴向、横向弯曲刚度为目标函数，用多目标遗传优化算法(MOGA)对响应面模型进行寻优。研究表明，该方法能同时提高三脚架轴向、横向刚度，可据Pareto最优解集合权衡各目标进行决策。

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	华洪良
	廖振强
	邱明
	宋杰
	李佳圣

关键词 ：网格变形, 形状优化, 多目标遗传优化, 响应面

Abstract：

Tripod is an important part of the machine gun. Elastic deformation of the tripod when firing has been identified as a major cause of influencing machine gun firing accuracy. In view of the problem, a method integrates mesh morphing technology, Plackett-Burman design and multi-objective optimization is proposed to improve the tripod stiffness. Mesh morphing technology is employed to define the shape variables. A Plackett-Burman design is utilized to determine the significant variables affecting the Objectives. An optimal Latin hypercube sampling is utilized to generated uniformly distributed sample points for fitting the Kriging Response Surface Models with high accuracies. Further more, these response surface models are optimized by using the multi-objective genetic algorithm(MOGA) where the mass is defined as constraint function and the axial bending stiffness and lateral bending stiffness are defined as objective functions, and the Pareto optimal solution set is finally obtained. The conclusion can be drawn that the proposed methodology can improve the axial bending stiffness and lateral bending stiffness at the same time, and engineers can handle the trade-off between the objectives for guiding the decision-making.

Key words： mesh morphing shape optimization multi-objective genetic algorithm response surface

收稿日期: 2014-05-07 出版日期: 2015-08-25

引用本文:

华洪良，廖振强，邱明，宋杰，李佳圣. 基于网格变形技术的机枪三脚架多目标响应面优化[J]. 振动与冲击, 2015, 34(16): 141-146.
HUA Hong-liang，LIAO Zhen-qiang，QIU Ming，Song Jie，LI Jia-sheng. Multi-objective optimization combining response surface model of machine gun tripod based on mesh morphing technology. JOURNAL OF VIBRATION AND SHOCK, 2015, 34(16): 141-146.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2015/V34/I16/141

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