Neural network control of a gas turbine

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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.

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Details

Original languageEnglish
Pages (from-to)198-208
Number of pages11
JournalNeural Computing and Applications
Volume4
Issue4
DOIs
StatePublished - 1996

    Keywords

  • correlation tests, model following, neurocontrol

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