Control of precalciner temperature in the cement industry: a novel method of hammerstein model predictive control with issa

HIGHLIGHTS

  • who: Chao Sun et al. from the School of Electrical Engineering, Yanshan University, Qinhuangdao, China have published the article: Control of Precalciner Temperature in the Cement Industry: A Novel Method of Hammerstein Model Predictive Control with ISSA, in the : Processes 2023, 11, 214. of /2023/
  • what: In this study a deep learning-based Hammerstein model is proposed and a model predictive control system is built to predict and control the precalciner temperature. Tested with data from a cement plant in Hebei China the prediction accuracy of the model proposed in this paper is 99% and . . .

     

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