Nonlinear identification of a turbogenerator by local model networks

Research output: Contribution to journalArticlepeer-review

Abstract

Local Model (LM) networks are applied to the identification of the global nonlinear dynamics of a turbogenerator excitation loop. A hybrid algorithm is used to optimise the learning process. Extensive use of plant 'a priori' information is used to form an initial estimate for the nonlinear interpolation regions. The resulting model was found to describe the behaviour of the nonlinear generator-exciter system over its entire operating range.

Original languageEnglish
Pages (from-to)1462-1467
Number of pages6
JournalIEE Conference Publication
Issue number455
DOIs
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1998 International Conference on Control. Part 2 (of 2) - Swansea, UK
Duration: 1 Sep 19984 Sep 1998

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