Simulation model correction method of inertial platform temperature field based on neural network

被引：0
|
作者：
Liu Y. [1 ]
Zhao X. [1 ]
Wang X.D. [1 ]
Zhang Y. [1 ]
Zhou Y. [1 ]
机构：
[1] Tianjin Navigation Instrument Research Institute, Tianjin
来源：
| 2018年 / Editorial Department of Journal of Chinese Inertial Technology卷 / 26期
关键词：
Convection heat transfer coefficient; Inertial platform; Neural network algorithm; Temperature field analysis;
D O I：
10.13695/j.cnki.12-1222/o3.2018.02.004
中图分类号：
学科分类号：
摘要：
Aiming at the problem of low efficiency and low accuracy of the current platform system simulation method, a simulation model correction method of inertial platform system is proposed based on the neural network algorithm and taken into account the real wall conditions. Starting from the inertial platform's 3D model, the modified heat transfer coefficient by the neural network is used as the heat exchange condition between the system and the external environment, and a simulation model for the heat exchange between the system and the infinitely large space is established. Higher-precision temperature distribution within the system is obtained by using this model. Simulation and test results show that the number of elements in the new simulation model with modified coefficients is decreased by 24.61%, and the simulation accuracy is increased by 15.95%. In addition, the modified convective heat transfer coefficient can be used in the temperature field simulation analysis of inertial platforms with similar external wall. © 2018, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
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页码：162 / 166
页数：4
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