Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0967-0661(97)00065-8
DC FieldValue
dc.titleAdaptive fuzzy scheme for efficient, fast valving control
dc.contributor.authorChen, Q.
dc.contributor.authorTan, S.
dc.contributor.authorHan, Y.
dc.contributor.authorWang, Z.
dc.date.accessioned2014-06-17T06:43:36Z
dc.date.available2014-06-17T06:43:36Z
dc.date.issued1997-06
dc.identifier.citationChen, Q., Tan, S., Han, Y., Wang, Z. (1997-06). Adaptive fuzzy scheme for efficient, fast valving control. Control Engineering Practice 5 (6) : 811-821. ScholarBank@NUS Repository. https://doi.org/10.1016/S0967-0661(97)00065-8
dc.identifier.issn09670661
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/61753
dc.description.abstractFast valving has long been regarded as an effective and economical method of performing transient control in a power generation plant. Due to the inherent nonlinearities that exist in this operation, fast valving controllers designed in a conventional way cannot deliver satisfactory control. This paper introduces a new approach to construct a fast valving controller by applying an adaptive fuzzy technique. A rule-generation and adaptation scheme is formulated in a fuzzy-system framework. Then the implementation issue is discussed in detail. From the outcome of on-line testing, it is shown that the controller constructed in this way not only maintains global stability, but also appears to be robust in different fault situations.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0967-0661(97)00065-8
dc.sourceScopus
dc.subjectadaptive control
dc.subjectfast valving
dc.subjectfuzzy control
dc.subjectpower generation
dc.subjectpower system stability
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.doi10.1016/S0967-0661(97)00065-8
dc.description.sourcetitleControl Engineering Practice
dc.description.volume5
dc.description.issue6
dc.description.page811-821
dc.description.codenCOEPE
dc.identifier.isiutA1997XG61700008
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