›› 2014, Vol. 34 ›› Issue (6): 51-.doi: 10.3780/j.issn.1000-758X.2014.06.007

• 技术交流 • 上一篇    下一篇

基于人工神经网络的反射器型面精度预测

 周阳1, 张淑杰1, 张华振2   

  1. (1 同济大学航空航天与力学学院,上海200092)(2 上海跃盛信息技术有限公司,上海200240)
  • 收稿日期:2014-04-21 修回日期:2014-07-18 出版日期:2014-12-25 发布日期:2014-12-25
  • 作者简介:周暋阳 1988年生,2011年毕业于上海大学机械工程专业,现为同济大学航空航天与力学学院硕士研究生。研究方向为航空航天材料与结构设计。

Reflector Antenna Precision Prediction Based on Neural Network

 ZHOU  Yang1, ZHANG  Shu-Jie1, ZHANG  Hua-Zhen2   

  1. (1 School of Aerospace Engineering and Applied Mechanics,Tongji University,Shanghai 200092)(2 Shanghai YS Information Technology Co.,Ltd.,Shanghai 200240)
  • Received:2014-04-21 Revised:2014-07-18 Online:2014-12-25 Published:2014-12-25

摘要: 基于人工神经网络的预测方法,利用数量适当的有限元计算结果,建立人工神经网络模型,对反射器型面进行精度预测分析,得到在最小型面精度结果下的结构设计参数。计算结果显示训练好的神经网络模型能够较精确地预测格栅反射器的型面精度,节省计算时间,并且以型面精度最小为准则进行参数分析,能够指导反射器的结构设计。

关键词: 人工神经网络, 格栅反射器, 型面精度, 优化设计, 天线, 卫星通信

Abstract: The precision of reflector antenna on orbit is an important design specification,and the reasonable structure design can improve the reflector precision. By taking full advantages of the high strength,high modulus,low coefficient of thermal expansion of the composite material,and the surface precision of the antenna could be improve dsignificantly.By using the artificial neural networks highly nonlinear mapping capability,and based on the principle of the minimum RMS,the design parameters were optimized.The calculation results indicate that the computing time can be effectively saved. The results show that the optimization method is reasonable,and the structure design meets the design requirements. The design scheme and analytical  methods provide a direction for the structure design of the reflector.

Key words: Artificial neural network, Grating reflector, Surface accuracy, Optimization design, Antenna, Satellite communications