Real-time performance evaluation of a genetic-algorithm-based fuzzy logic controller for IPM motor drives

M. Nasir Uddin; M. A. Abido; M. A. Rahman

doi:10.1109/TIA.2004.840995

Real-time performance evaluation of a genetic-algorithm-based fuzzy logic controller for IPM motor drives

M. Nasir Uddin^*
, M. A. Abido
, M. A. Rahman

^*Corresponding author for this work

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

59 Scopus citations

Abstract

This paper presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent-magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1-hp interior permanent magnet motor. The efficacy of the proposed GFLC-based IPMSM drive is verified by simulation as well as experimental results at various operating conditions. A performance comparison with a conventional proportional-integral controller is also provided to show the superiority of the proposed controller. The proposed GFLC is found to be robust for high-performance industrial drive applications.

Original language	English
Pages (from-to)	246-252
Number of pages	7
Journal	IEEE Transactions on Industry Applications
Volume	41
Issue number	1
DOIs	https://doi.org/10.1109/TIA.2004.840995
State	Published - Jan 2005

Bibliographical note

Funding Information:
Dr. Abido was the recipient of the First Prize Paper Award of the Industrial Automation and Control Committee of the IEEE Industry Applications Society.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Digital signal processor (DSP)
Fuzzy logic
Genetic algorithm (GA)
Interior permanent-magnet (IPM) motor
Real-time implementation
Vector control

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/TIA.2004.840995

Cite this

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title = "Real-time performance evaluation of a genetic-algorithm-based fuzzy logic controller for IPM motor drives",

abstract = "This paper presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent-magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1-hp interior permanent magnet motor. The efficacy of the proposed GFLC-based IPMSM drive is verified by simulation as well as experimental results at various operating conditions. A performance comparison with a conventional proportional-integral controller is also provided to show the superiority of the proposed controller. The proposed GFLC is found to be robust for high-performance industrial drive applications.",

keywords = "Digital signal processor (DSP), Fuzzy logic, Genetic algorithm (GA), Interior permanent-magnet (IPM) motor, Real-time implementation, Vector control",

author = "Uddin, \{M. Nasir\} and Abido, \{M. A.\} and Rahman, \{M. A.\}",

note = "Funding Information: Dr. Abido was the recipient of the First Prize Paper Award of the Industrial Automation and Control Committee of the IEEE Industry Applications Society.",

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AU - Uddin, M. Nasir

AU - Abido, M. A.

AU - Rahman, M. A.

N1 - Funding Information: Dr. Abido was the recipient of the First Prize Paper Award of the Industrial Automation and Control Committee of the IEEE Industry Applications Society.

PY - 2005/1

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N2 - This paper presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent-magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1-hp interior permanent magnet motor. The efficacy of the proposed GFLC-based IPMSM drive is verified by simulation as well as experimental results at various operating conditions. A performance comparison with a conventional proportional-integral controller is also provided to show the superiority of the proposed controller. The proposed GFLC is found to be robust for high-performance industrial drive applications.

AB - This paper presents a novel speed control scheme using a genetic-based fuzzy logic controller (GFLC) for an interior permanent-magnet synchronous motor (IPMSM) drive. The proposed GFLC is developed to have less computational burden, which makes it suitable for real-time implementation. The parameters for the GFLC are tuned by genetic algorithm (GA). The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1-hp interior permanent magnet motor. The efficacy of the proposed GFLC-based IPMSM drive is verified by simulation as well as experimental results at various operating conditions. A performance comparison with a conventional proportional-integral controller is also provided to show the superiority of the proposed controller. The proposed GFLC is found to be robust for high-performance industrial drive applications.

KW - Digital signal processor (DSP)

KW - Fuzzy logic

KW - Genetic algorithm (GA)

KW - Interior permanent-magnet (IPM) motor

KW - Real-time implementation

KW - Vector control

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DO - 10.1109/TIA.2004.840995

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JO - IEEE Transactions on Industry Applications

JF - IEEE Transactions on Industry Applications

IS - 1

ER -

Real-time performance evaluation of a genetic-algorithm-based fuzzy logic controller for IPM motor drives

Abstract

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this