中国机械工程

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基于NSGA_Ⅱ算法的双驱动进给系统结构优化

黄俊;袁军堂;汪振华   

  1. 南京理工大学,南京,210094
  • 出版日期:2016-12-25 发布日期:2016-12-28
  • 基金资助:
    江苏省自然科学基金资助项目(BK20141400);国家科技重大专项(2015ZX04014021) 

Multi-objective Optimization Model for Double-drive Feed System Based on NSGA_Ⅱ Algorithm

Huang Jun;Yuan Juntang;Wang Zhenhua   

  1. Nanjing University of Science and Technology,Nanjing,210094
  • Online:2016-12-25 Published:2016-12-28
  • Supported by:
     

摘要: 为了满足双驱动进给系统轻量化和高抗振性能要求,提出了以质量、最大耦合应力和一阶固有频率为目标函数的进给系统多目标优化设计方法。采用灵敏度法选取优化参数,通过正交试验设计方法建立了进给系统的二阶响应面模型,并将非劣排序遗传算法Ⅱ(NSGA_Ⅱ)作为求解算法。计算结果表明工作台质量减小0.3%,最大耦合应力减小5.9%,一阶固有频率提高了9.32%。以双驱动进给系统的工作台为研究对象进行了结构多目标优化设计,并将优化前后双驱动进给系统进行了动态试验测试,验证了所提出的优化方法的正确性。

关键词: 双驱动进给系统, 动态特性, 响应面模型, 多目标优化

Abstract: In order to satisfy lightweight and higher vibration performance requirements of the double drive feed system, a multi objective optimization design method was proposed based on the lightest mass, the best coupling mechanical properties and the higher first order natural frequency of the feed system. The optimization parameters were selected by the sensitivity method. A two order response surface model of the feed system is established by the orthogonal experimental design and the NSGA_Ⅱ algorithm is used as the solution algorithm. The calculation results show that the table mass is reduced by 0.3%, the maximum coupling stress is reduced by 5.9%, and first order natural frequency is increased by 9.32%. Finally, the correctness of double-drive feed system's optimization design method proposed herein was verified by the dynamic experiments.

Key words: double drive feed system, dynamic characteristic, response surface model, multi-objective optimization

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