›› 2020, Vol. 26 ›› Issue (6): 1679-1690.DOI: 10.13196/j.cims.2020.06.024

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Technology of assembly sequence planning for reflector

  

  • Online:2020-06-30 Published:2020-06-30
  • Supported by:
    Project supported by the Natural Science Basic Research Plan in Shaanxi Province,China(No.2019JQ-738),and the Natural Science Special Research Plan of Shaanxi Provincial Education Department,China(No.19JK0593).

一种反射面天线面板装配优化方法

王豆,段晓强,邵晓东,高峰   

  1. 西安理工大学陕西省制造装备重点实验室
  • 基金资助:
    陕西省自然科学基础研究计划资助项目(2019JQ-738);陕西省教育厅自然科学专项资助项目(19JK0593)。

Abstract: To improve the surface accuracy and assembly efficiency of the large reflector antenna,a assembly optimization method for antenna panels was studied.By considering the assembly process,the mathematical model for Assembly Sequence Planning (ASP) of reflector was constructed based on traditional Genetic Algorithm (GA),whose fitness function consisted of evaluation of assembly deformation,assembly cycle and assembly labor cost.Considering the assembly accuracy and consumption in the assembly process,the multi-objective optimization function was obtained through weighting the corresponding items.The finite element simulation model was given to simulate the dynamic assembly process of reflector according to the algorithm result of ASP based on GA,and the simulation results was used to evaluate ASP algorithm result timely and accurately.Taking the example of 9 m reflector antenna,the algorithm results and simulation results of different objective functions were discussed.The assembly sequence with the highest precision,with the best economic efficiency,and the assembly sequence considering both the improvement of assembly precision and economical efficiency were all calculated.The above results demonstrated the proposed ASP method based on GAand its mathematical model were accuracy and efficiency.

Key words: reflector antenna, panel assembly, assembly sequence planning, multi-objective genetic algorithm

摘要: 为提高大型反射面天线形面装配精度及装配效率,提出一种反射面天线面板装配优化方法。该方法从装配工艺入手,基于传统遗传算法的思想,建立了天线装配序列规划的遗传算法数学模型,其适应度函数包含了对装配变形、装配周期及装配人工消耗等方面的评价,考虑到装配精度和装配过程中的功耗,为相应的项赋予权重使其达到多目标优化的目的;同时,建立了天线装配的有限元仿真模型,对遗传算法得到的装配序列结果进行了面向装配过程的面板装配变形动态仿真,并将仿真结果反馈于装配序列规划模型的评价中,及时对遗传算法所求得最优解作出准确评估。以某工程9 m圆抛物面天线的面板装配为例,讨论了不同目标函数时的算法结果和仿真结果,分别求得了精度最高的装配序列、经济度最好的装配序列,以及考虑同时提高装配精度和增强经济度的装配序列。从而证明了所建立的反射面装配遗传算法数学模型的正确性及所提天线装配序列规划方法的高效性。

关键词: 反射面天线, 面板装配, 装配序列规划, 多目标遗传算法

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