首页> 外国专利> Cooling process using an artificial neural network

Cooling process using an artificial neural network

机译:使用人工神经网络的冷却过程

摘要

P refrigeration process using an artificial neural network The present disclosure relates to a process for cooling a circuit (3) for supplying cryogenic fluid comprising a step of acquiring (E1) a value (T ° c) of the state of the circuit (3) d 'supply of cryogenic fluid at a current instant (tc), a calculation step (E2) of a corresponding instant (tcmd, i) of opening of each valve (VAO, VMRO, VPO) among one or more valves of the circuit (3) supplying cryogenic fluid, and an opening step (E4) of each valve (VAO, VMRO, VPO) at the corresponding instant (tcmd, i) to cool the circuit (3) of cryogenic fluid supply. The calculation step is performed by a computer applying an artificial neural network to calculate a valve opening sequence (VAO, VMRO, VPO) making it possible to reach, from the value (T ° c) of the state of the cryogenic fluid supply circuit (3) at the current time (tc), a state of the cryogenic fluid supply circuit (3) satisfying one or more predetermined cooling criteria at a predetermined time (t end) in the future. This disclosure also relates to a cryogenic fluid supply circuit (3) and its control unit (15), configured to implement this method, as well as a thruster (1) incorporating such a supply circuit (3). in cryogenic fluid as propellant. Figure for the abstract: Fig. 5.
机译:P. 制冷过程 利用人工神经网络 本发明涉及一种用于冷却用于供给低温流体包括获取(E1)的值(T℃)的电路的状态(3)的d“的低温流体以供给的工序的电路(3)当前时刻(TC),(TCMD,i)的各阀的开(VAO,VMRO,VPO)供给低温流体的电路(3)中的一个或更多个阀中的相应时刻的计算步骤(E2),和一个在相应的即时每个阀(VAO,VMRO,VPO)的开口步骤(E4)(TCMD,i)至冷却的低温流体供给的电路(3)。计算步骤是通过施加一个人工神经网络以计算开阀序列(VAO,VMRO,VPO)使得能够达到一个计算机来执行,从该值(T℃)的低温流体供给电路的状态( 3)在当前时间(tc),低温流体供给回路(3)的状态满足一个或多个预定的冷却在未来的预定时间(t端)标准。本公开还涉及一种低温流体供给回路(3)和其控制单元(15),被配置为实现这种方法,以及一个推进器(1)包含这样的供电电路(3)。在低温流体作为推进剂。 图的简介:图5。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号