Induction machine speed control

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dc.contributor.authorGoléa, A.
dc.contributor.authorGoléa, N.
dc.contributor.authorKadjoudj, M.
dc.date.accessioned2022-04-27T03:23:25Z
dc.date.available2022-04-27T03:23:25Z
dc.date.issued1999
dc.description.abstractThis paper investigates fuzzy adaptive control of induction machine (IM) speed. The proposed controller consists of two parts: the first is classical fuzzy logic controller (FLC) constituted by fuzzy If-Then rules. The second part is adaptation mechanism, which adjusts the fuzzy controller parameters in order to minimize the error between the reference speed and the machine speed. The fuzzy adaptive controller (FAC) can be started without prior information on the machine, and can learn and tune rapidly the fuzzy controller rules to meet the desired performance, even when the machine parameters change. Simulation studies for various operating conditions show the superior performance of the FAC compared to PI controllerar
dc.identifier.isbn978-3-9524173-5-5
dc.identifier.urihttp://hdl.handle.net/123456789/12952
dc.language.isoenar
dc.publisherECCar
dc.subjectInduction machinear
dc.subjectVector controlar
dc.subjectFuzzy logic controlar
dc.subjectFuzzy adaptive controlar
dc.titleInduction machine speed controlar
dc.title.alternativeusing fuzzy adaptive controllerar
dc.typeArticlear
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