Neural network control of a gas turbine

Ian Nabney, D.C. Cressy

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper we explore the practical use of neural networks for controlling complex non-linear systems. The system used to demonstrate this approach is a simulation of a gas turbine engine typical of those used to power commercial aircraft. The novelty of the work lies in the requirement for multiple controllers which are used to maintain system variables in safe operating regions as well as governing the engine thrust.
Original languageEnglish
Pages (from-to)198-208
Number of pages11
JournalNeural Computing and Applications
Volume4
Issue number4
DOIs
Publication statusPublished - 1996

Keywords

  • correlation tests
  • model following
  • neurocontrol

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