流体机械2017，Vol.45Issue(11)：10-16,4,8.DOI:10.3969/j.issn.1005-0329.2017.11.003
基于PSO-BP的调控型气体密封状态参数智能计算方法研究
Intelligent Computing Method of State Parameters for RGS Based on PSO-BP
摘要
Abstract
As a non-contact seal,using regulatable gas seal can improve the running stability in the process of service by the introduction of intelligent control system. But the existing calculation method has many shortcomings, such as cumbersome process of establishing the calculation model or consuming time of iterative calculation. This paper proposes a BP(Back Propagation) neural network method optimized by particle swarm algorithm(PSO), which conforms to the requirements of output accuracy and timeliness for the intelligent control system. This paper developed intelligent control procedure based on PSO-BP to control type sealing state parameter. Then optimized thresholds and weight value of neural network, and discussed impact on parameters of intelligent computing procedure such as the particle swarm population, hidden layer, and neurons several. Finally, set up the test system. The test results verified the accuracy of intelligent computing procedure of the regulatable gas seal parameters. The research realizes the intelligent control of RGS, improves anti-interference ability of RGS and contributes the large centrifugal compressor to the direction of wide working condition, high parameters, high efficiency and intelligence.关键词
调控型气体密封/神经网络/智能调控/性能参数Key words
regulatable gas seal/neural network/intelligent control/state parameter分类
机械制造引用本文复制引用
王磊,李双喜,朱乔峰,李欢..基于PSO-BP的调控型气体密封状态参数智能计算方法研究[J].流体机械,2017,45(11):10-16,4,8.基金项目
国家重点基础研究发展计划(973)项目(2012CB026000) （973）
