人工神经网络技术在舱外航天服自动温控系统中的应用  

APPLICATION OF ARTIFICIAL NEURAL NETWORKS TECHNICS TO AUTOMATIC THERMAL CONTROL SYSTEM FOR EVA SPACE SUITS

作　　者：赵朝义[1,2] 孙金镖[1,2] 袁修干[1,2] 林贵平[1,2] 

机构地区：[1]北京航空航天大学人机环境研究所 [2]航天医学工程研究所

出　　处：《航空学报》1999年第S1期67-68,共2页Acta Aeronautica et Astronautica Sinica

摘　　要：介绍了舱外航天服手动温度控制存在的问题，分析了已有的航天服自动温控方案。采用人工神经网络的反向传播算法，以氧气的消耗量、全身出汗量、心率、液冷服的出口水温及出入口的水温差等５个参数作为输入，以液冷服冷却水的入口温度为输出，建立了舱外航天服的自动温控系统的人工神经网络模型。并讨论了反向传播算法及网络构造。结果表明，人工神经网络技术为解决舱外航天服自动温度控制提供了一条新途径。The control problem of the present manual thermal control system for the extravehicular activities (EVA) space suits is introduced, and the previous attempts to develop automatic thermal control systems(ATCS) are addressed. Using the back propagation (BP) algorithm, a model of ATCS based on artificial neural network is established. Oxygen consumption rate, overall sweat rate, heart rate, the liquid cooled garment (LCG) outlet water temperature and the differences in water temperature into and out of the LCG are used as inputs, while the LCG inlet temperature is used as output. The BP algorithm and the network construction are also discussed. It is shown that the artificial neural network technics is a new approach to develop ATCS for EVA space suits.

关 键 词：航天服 出舱活动 温度控制 人工神经网络 

分 类 号：V444.3[航空宇航科学与技术—飞行器设计]