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

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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

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