A new approach to modeling and control of a food extrusion process using artificial neural network and an expert system

Otilia Popescu, Dimitrie C. Popescu, Joseph Wilder, Mukund V. Karwe

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

The paper presents a new approach to the modeling of the start-up part of a food extrusion process. A neural network model is proposed and its parameters are determined. Simulation results with real data are also presented. The inputs and outputs of the model are among those used by the human operator during the start-up process for control. An intelligent controller structure that uses an expert system and "delta-variations" to modify inputs is also proposed.

Original languageEnglish (US)
Pages (from-to)17-36
Number of pages20
JournalJournal of Food Process Engineering
Volume24
Issue number1
DOIs
StatePublished - Mar 2001

All Science Journal Classification (ASJC) codes

  • Food Science
  • Chemical Engineering(all)

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