Simulation Analysis and Experimental Evaluation of Improved Field-Oriented Controlled Induction Motors Incorporating Intelligent Controllers

Ibrahim Mustafa Mehedi; Nordin Saad; Muawia Abdelkafi Magzoub; Ubaid M. Al-Saggaf; Ahmad H. Milyani

doi:10.1109/ACCESS.2022.3150360

Simulation Analysis and Experimental Evaluation of Improved Field-Oriented Controlled Induction Motors Incorporating Intelligent Controllers

Ibrahim Mustafa Mehedi
, Nordin Saad^*
, Muawia Abdelkafi Magzoub
, Ubaid M. Al-Saggaf
, Ahmad H. Milyani

^*Corresponding author for this work

Department of Electrical and Computer Engineering
King Abdulaziz University
Center of Excellence in Intelligent Engineering Systems (CEIES)
Universiti Teknologi Petronas

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

30 Citations (Scopus)

Abstract

This work discusses the simulation and experimental demonstration of a genetic algorithm hybrid fuzzy-fuzzy controller (GA-HFFC) system to achieve speed control of a variable-speed induction motor (IM) drive based on a space vector pulse width modulation (SVPWM) technique by means of an eZdspF28335 digital signal processing (DSP) experiment board. Two features of field-oriented control (FOC) were used to design the GA-HFFC, namely, the current and frequency. To overcome the limitations of the FOC technique, the principles of the GA-HFFC were introduced through the acceleration-deceleration stages to regulate the speed of the rotor with the help of a fuzzy frequency controller, while a fuzzy stator current amplitude controller was involved during the steady-state stage. The results revealed that the proposed control approach could deliver a practical control solution in the presence of diverse operating conditions.

Original language	English
Pages (from-to)	18380-18394
Number of pages	15
Journal	IEEE Access
Volume	10
DOIs	https://doi.org/10.1109/ACCESS.2022.3150360
Publication status	Published - 2022
Externally published	Yes

Keywords

Digital signal processing
genetic algorithm
hybrid fuzzy-fuzzy control
induction motor
reliable auxiliary circuits

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10.1109/ACCESS.2022.3150360

Cite this

@article{4338d2e0b46c4973828544bdc9e4d2dd,

title = "Simulation Analysis and Experimental Evaluation of Improved Field-Oriented Controlled Induction Motors Incorporating Intelligent Controllers",

abstract = "This work discusses the simulation and experimental demonstration of a genetic algorithm hybrid fuzzy-fuzzy controller (GA-HFFC) system to achieve speed control of a variable-speed induction motor (IM) drive based on a space vector pulse width modulation (SVPWM) technique by means of an eZdspF28335 digital signal processing (DSP) experiment board. Two features of field-oriented control (FOC) were used to design the GA-HFFC, namely, the current and frequency. To overcome the limitations of the FOC technique, the principles of the GA-HFFC were introduced through the acceleration-deceleration stages to regulate the speed of the rotor with the help of a fuzzy frequency controller, while a fuzzy stator current amplitude controller was involved during the steady-state stage. The results revealed that the proposed control approach could deliver a practical control solution in the presence of diverse operating conditions.",

keywords = "Digital signal processing, genetic algorithm, hybrid fuzzy-fuzzy control, induction motor, reliable auxiliary circuits",

author = "Mehedi, \{Ibrahim Mustafa\} and Nordin Saad and Magzoub, \{Muawia Abdelkafi\} and Al-Saggaf, \{Ubaid M.\} and Milyani, \{Ahmad H.\}",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2022",

doi = "10.1109/ACCESS.2022.3150360",

language = "English",

volume = "10",

pages = "18380--18394",

journal = "IEEE Access",

issn = "2169-3536",

}

TY - JOUR

T1 - Simulation Analysis and Experimental Evaluation of Improved Field-Oriented Controlled Induction Motors Incorporating Intelligent Controllers

AU - Mehedi, Ibrahim Mustafa

AU - Saad, Nordin

AU - Magzoub, Muawia Abdelkafi

AU - Al-Saggaf, Ubaid M.

AU - Milyani, Ahmad H.

PY - 2022

Y1 - 2022

N2 - This work discusses the simulation and experimental demonstration of a genetic algorithm hybrid fuzzy-fuzzy controller (GA-HFFC) system to achieve speed control of a variable-speed induction motor (IM) drive based on a space vector pulse width modulation (SVPWM) technique by means of an eZdspF28335 digital signal processing (DSP) experiment board. Two features of field-oriented control (FOC) were used to design the GA-HFFC, namely, the current and frequency. To overcome the limitations of the FOC technique, the principles of the GA-HFFC were introduced through the acceleration-deceleration stages to regulate the speed of the rotor with the help of a fuzzy frequency controller, while a fuzzy stator current amplitude controller was involved during the steady-state stage. The results revealed that the proposed control approach could deliver a practical control solution in the presence of diverse operating conditions.

AB - This work discusses the simulation and experimental demonstration of a genetic algorithm hybrid fuzzy-fuzzy controller (GA-HFFC) system to achieve speed control of a variable-speed induction motor (IM) drive based on a space vector pulse width modulation (SVPWM) technique by means of an eZdspF28335 digital signal processing (DSP) experiment board. Two features of field-oriented control (FOC) were used to design the GA-HFFC, namely, the current and frequency. To overcome the limitations of the FOC technique, the principles of the GA-HFFC were introduced through the acceleration-deceleration stages to regulate the speed of the rotor with the help of a fuzzy frequency controller, while a fuzzy stator current amplitude controller was involved during the steady-state stage. The results revealed that the proposed control approach could deliver a practical control solution in the presence of diverse operating conditions.

KW - Digital signal processing

KW - genetic algorithm

KW - hybrid fuzzy-fuzzy control

KW - induction motor

KW - reliable auxiliary circuits

UR - https://www.scopus.com/pages/publications/85124729326

U2 - 10.1109/ACCESS.2022.3150360

DO - 10.1109/ACCESS.2022.3150360

M3 - Article

AN - SCOPUS:85124729326

SN - 2169-3536

VL - 10

SP - 18380

EP - 18394

JO - IEEE Access

JF - IEEE Access

ER -

Simulation Analysis and Experimental Evaluation of Improved Field-Oriented Controlled Induction Motors Incorporating Intelligent Controllers

Abstract

Keywords

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