Adaptive fuzzy mimo control of induction motors

Hasan A. Yousef; Manal A. Wahba

doi:10.1016/j.eswa.2008.04.004

Adaptive fuzzy mimo control of induction motors

Hasan A. Yousef^*, Manal A. Wahba

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

33 Citations (Scopus)

Abstract

This paper presents a new adaptive fuzzy control technique applied to induction motors (IM). The control task of such motors is considered complicated by the fact that these motors have uncertain time-varying parameters and are subjected to unknown load disturbance. A nonlinear multi-input multi-output (MIMO) state feedback linearizing control is designed for the IM modeled in a stationary reference frame. An adaptive fuzzy controller is proposed to estimate the unknown nonlinear functions that appear in the state feedback input-output linearizing control. Simulation results are presented to validate the effectiveness of the proposed controller even in the presence of motor parameter variations and unknown load disturbance.

Original language	English
Pages (from-to)	4171-4175
Number of pages	5
Journal	Expert Systems with Applications
Volume	36
Issue number	3 PART 1
DOIs	https://doi.org/10.1016/j.eswa.2008.04.004
Publication status	Published - Apr 2009
Externally published	Yes

Keywords

Adaptive control
Feedback linearization
Fuzzy control
Induction motors
Nonlinear MIMO system

ASJC Scopus subject areas

General Engineering
Computer Science Applications
Artificial Intelligence

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10.1016/j.eswa.2008.04.004

Cite this

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title = "Adaptive fuzzy mimo control of induction motors",

abstract = "This paper presents a new adaptive fuzzy control technique applied to induction motors (IM). The control task of such motors is considered complicated by the fact that these motors have uncertain time-varying parameters and are subjected to unknown load disturbance. A nonlinear multi-input multi-output (MIMO) state feedback linearizing control is designed for the IM modeled in a stationary reference frame. An adaptive fuzzy controller is proposed to estimate the unknown nonlinear functions that appear in the state feedback input-output linearizing control. Simulation results are presented to validate the effectiveness of the proposed controller even in the presence of motor parameter variations and unknown load disturbance.",

keywords = "Adaptive control, Feedback linearization, Fuzzy control, Induction motors, Nonlinear MIMO system",

author = "Yousef, {Hasan A.} and Wahba, {Manal A.}",

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AU - Yousef, Hasan A.

AU - Wahba, Manal A.

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N2 - This paper presents a new adaptive fuzzy control technique applied to induction motors (IM). The control task of such motors is considered complicated by the fact that these motors have uncertain time-varying parameters and are subjected to unknown load disturbance. A nonlinear multi-input multi-output (MIMO) state feedback linearizing control is designed for the IM modeled in a stationary reference frame. An adaptive fuzzy controller is proposed to estimate the unknown nonlinear functions that appear in the state feedback input-output linearizing control. Simulation results are presented to validate the effectiveness of the proposed controller even in the presence of motor parameter variations and unknown load disturbance.

AB - This paper presents a new adaptive fuzzy control technique applied to induction motors (IM). The control task of such motors is considered complicated by the fact that these motors have uncertain time-varying parameters and are subjected to unknown load disturbance. A nonlinear multi-input multi-output (MIMO) state feedback linearizing control is designed for the IM modeled in a stationary reference frame. An adaptive fuzzy controller is proposed to estimate the unknown nonlinear functions that appear in the state feedback input-output linearizing control. Simulation results are presented to validate the effectiveness of the proposed controller even in the presence of motor parameter variations and unknown load disturbance.

KW - Adaptive control

KW - Feedback linearization

KW - Fuzzy control

KW - Induction motors

KW - Nonlinear MIMO system

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JO - Expert Systems with Applications

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Adaptive fuzzy mimo control of induction motors

Abstract

Keywords

ASJC Scopus subject areas

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