Soft Computing, ( ISI ), Volume (25), No (8), Year (2021-4) , Pages (5895-5907)

Title : ( A new adaptive non-singleton general type-2 fuzzy control of induction motors subject to unknown time-varying dynamics and unknown load torque )

Authors: Naser Pariz ,

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Abstract

In this paper, a new fault-tolerant control strategy is suggested to control the induction motors (IMs). The mathematical model of IMs is supposed to be unknown and also the main disturbances such as perturbation in the rotor resistance, and suddenly changes in the load torque are considered. A general type-2 fuzzy system using a new non-singleton fuzzification is proposed to cope with the uncertainties. The robustness and the stability of the proposed control scheme is studied on basis of the Lyapunov theorem. The simulation results show that the suggested control method has good performance in the versus of unknown dynamics of IM, time-varying disturbances, abrupt faults and measurement errors. The proposed scheme is compared with other popular control systems and other kind of fuzzy systems and singleton fizzification.

Keywords

, Induction motor General type, 2 fuzzy systems Lyapunov stability Rotor resistance Load torque
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@article{paperid:1083686,
author = {Pariz, Naser},
title = {A new adaptive non-singleton general type-2 fuzzy control of induction motors subject to unknown time-varying dynamics and unknown load torque},
journal = {Soft Computing},
year = {2021},
volume = {25},
number = {8},
month = {April},
issn = {1432-7643},
pages = {5895--5907},
numpages = {12},
keywords = {Induction motor General type-2 fuzzy systems Lyapunov stability Rotor resistance Load torque},
}

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%0 Journal Article
%T A new adaptive non-singleton general type-2 fuzzy control of induction motors subject to unknown time-varying dynamics and unknown load torque
%A Pariz, Naser
%J Soft Computing
%@ 1432-7643
%D 2021

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