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文章基本信息

  • 标题:Stochastic Knock Control with Beta Distribution Learning for Gasoline Engines
  • 本地全文:下载
  • 作者:Kai Zhao ; Yuhu Wu ; Tielong Shen
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:31
  • 页码:125-130
  • DOI:10.1016/j.ifacol.2018.10.023
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractKnock phenomenon as a stochastic process requires feedback control for its relation to engine efficiency, noise and cylinder damage. In this paper, a knock probability estimation method using Bayes’ updating rule and beta distribution is proposed based on the independent and identically distributed (iid) characteristic analysis of the knock event sequence. A stochastic control algorithm using the estimation method and likelihood ratio test is also proposed. The proposed control algorithm is validated on a production spark ignition engine and shows the ability to maintain knock probability close to the target.
  • 关键词:KeywordsSI EngineStatistic ControlKnockBeta DistributionBayesruleLikelihood
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