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Dynamic Simulation of Flexible Nozzle Based on BP Neural Network Model

  • XUE Muyao 1 ,
  • HU Jiaxin 2 ,
  • ZHANG Jinyao 2 ,
  • TONG Yue 1 ,
  • LI Xiuming 1 ,
  • ZHENG Qing 1 ,
  • REN Junxue 2
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  • 1 Shanghai Space Propulsion Technology Research Institute, Shanghai 200125, China
  • 2 School of Astronautics, Beihang University, Beijing 100191, China

Received date: 2020-08-15

  Online published: 2025-02-20

Abstract

To achieve a better position accuracy control for flexible nozzle system under different swing amplitude, swing frequency and operating pressure, an electro-hydraulic servo mechanism- neural network model is constructed in this paper. And it is compared with experiment results as well as other physical models. The researches show that the model results of electro-hydraulic servo mechanism-neural network model have a good agreement results with experiment results. The model has good simulation accuracy, generalization ability and can provide accurate dynamic model for flexible nozzle control.

Cite this article

XUE Muyao , HU Jiaxin , ZHANG Jinyao , TONG Yue , LI Xiuming , ZHENG Qing , REN Junxue . Dynamic Simulation of Flexible Nozzle Based on BP Neural Network Model[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(3) : 109 -114 . DOI: 10.15892/j.cnki.djzdxb.2021.03.024

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Outlines

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