Implementation of Type-2 Fuzzy Control of PMSM Position Drive with Flexible Coupling

Demidova, Galina L.; Lukichev, Dmitry V.; Denisov, K. S.

doi:10.1109/codit.2019.8820317

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2020

2024

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Cited by 4 publications

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“…Since the 60s when Lofti Zadeh [1] introduced fuzzy sets to control theory, many researchers have intensively exploited this branch of knowledge [2][3][4][5][6]. Fuzzy sets allow one to control objects which are controlled by humans yet their analytical description is uncertain or hard to define, and therefore they are not easy to control.…”

Section: Introductionmentioning

confidence: 99%

Archives of Electrical Engineering

Derugo,

Żychlewicz

2020

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The purpose of this paper is to show possibility and advantages of initial control plane reproduction for an adaptive fuzzy controller. Usually the fuzzy control is used when the object is not very well known. Yet the truth is, however, that some, at least general information about the object, is available. Usually, in such a case, optimization algorithms are used to tune the control structure. The purpose of this article is to show how to find a starting point that is closer to optimum than a statistically random point, and this way to obtain better results in a shorter time.

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