Thermal models for avionics pod cabin based on Stochastic Configuration Network(SCN)  

作　　者：Liping Pang Jie Zhang Meng Liu Hongquan Qu Jun Wang 

机构地区：[1]School of Aeronautic Science and Engineering,Beihang University,Beijing 100191,China [2]School of Information Science and Technology,North China University of Technology,Beijing 100144,China

出　　处：《Energy and Built Environment》2020年第1期93-105,共13页能源与人工环境（英文）

基　　金：This work was funded by the National Key R&D Program of China(2017YFB1201100);the Liao Ning Revitalization Talents Program(XLYC1802092).

摘　　要：The thermal failure of airborne avionics equipment is not optimistic.It is very necessary to establish relatively accurate thermal models for predicting thermal response of avionics equipment under different flight conditions.Traditional thermal modeling methods are often difficult to obtain accurate temperature response in complex conditions.This has severely restricted the application of these models.However,the Stochastic Configuration Network(SCN)model based on random algorithm can weaken the heat transfer mechanism and pay attention to the mining of experimental data,so that a more accurate thermal relationship might be obtained.In this paper,the SCN was used to analyze the experimental data of the avionics pod with a Ram Air Turbine(RAT)cooling system.The thermal models based on the SCN were finally built for avionics pod.Compared with the commonly used Random Vector Functional Link Network(RVFLN)thermal models,the SCN thermal models not only inherit the advantages of simple network structure and low computational complexity,but also have some merits,such as the better learning performance and the less human intervention.The presented SCN models provide a way to predict the thermal response of avionics pod cabin under the full flight envelope for a fighter.

关 键 词：Avionics pod with a RAT cooling system SCN model Thermal response 

分 类 号：V24[航空宇航科学与技术—飞行器设计]