Indirect field-oriented control of induction motor drive based on adaptive fuzzy logic controller

K. Zeb; Z. Ali; K. Saleem; W. Uddin; M. A. Javed; N. Christofides

doi:10.1007/s00202-016-0447-5

Indirect field-oriented control of induction motor drive based on adaptive fuzzy logic controller

K. Zeb^*, Z. Ali, K. Saleem, W. Uddin, M. A. Javed, N. Christofides

^*Corresponding author for this work

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

44 Scopus citations

Abstract

Recently, Asynchronous Motors are extensively used as workhorse in a multitude of industrial and high-performance applications. Induction Motors (IM) have wide applications in today’s industry because of their robustness and low maintenance. A smart and fast speed control system, however, is in most cases a prerequisite for most applications. This work presents a smart control system for IM using an Adaptive Fuzzy Logic Controller (AFLC) based on the Levenberg–Marquardt algorithm. A synchronously rotating reference frame is used to model IM. To achieve maximum efficiency and torque of the IM, speed control was found to be one of the most challenging issues. Indirect Field-Oriented Control (IFOC) or Indirect Vector Control techniques with robust AFLC offer remarkable speed control with high dynamic response. Computer simulation results using MATLAB/Simulink ^® Toolbox are described and examined in this study for conventional PI and AFLC. AFLC presents robustness as regards overshoot, undershoot, rise time, fall time, and transient oscillation for speed variation of IFOC IM drive in comparison with classical PI. Moreover, load disturbance rejection capability for the designed control scheme is also verified with the AFL controller.

Original language	English
Pages (from-to)	803-815
Number of pages	13
Journal	Electrical Engineering
Volume	99
Issue number	3
DOIs	https://doi.org/10.1007/s00202-016-0447-5
State	Published - 1 Sep 2017
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2016, Springer-Verlag Berlin Heidelberg.

Keywords

Fuzzy Logic Controller (FLC)
Indirect Field-Oriented Control (IFOC)
Induction Motor (IM)
Levenberg–Marquardt (LM)
PI control scheme
Pulse Width Modulation (PWM)

ASJC Scopus subject areas

Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1007/s00202-016-0447-5

Cite this

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title = "Indirect field-oriented control of induction motor drive based on adaptive fuzzy logic controller",

abstract = "Recently, Asynchronous Motors are extensively used as workhorse in a multitude of industrial and high-performance applications. Induction Motors (IM) have wide applications in today{\textquoteright}s industry because of their robustness and low maintenance. A smart and fast speed control system, however, is in most cases a prerequisite for most applications. This work presents a smart control system for IM using an Adaptive Fuzzy Logic Controller (AFLC) based on the Levenberg–Marquardt algorithm. A synchronously rotating reference frame is used to model IM. To achieve maximum efficiency and torque of the IM, speed control was found to be one of the most challenging issues. Indirect Field-Oriented Control (IFOC) or Indirect Vector Control techniques with robust AFLC offer remarkable speed control with high dynamic response. Computer simulation results using MATLAB/Simulink {\textregistered} Toolbox are described and examined in this study for conventional PI and AFLC. AFLC presents robustness as regards overshoot, undershoot, rise time, fall time, and transient oscillation for speed variation of IFOC IM drive in comparison with classical PI. Moreover, load disturbance rejection capability for the designed control scheme is also verified with the AFL controller.",

keywords = "Fuzzy Logic Controller (FLC), Indirect Field-Oriented Control (IFOC), Induction Motor (IM), Levenberg–Marquardt (LM), PI control scheme, Pulse Width Modulation (PWM)",

author = "K. Zeb and Z. Ali and K. Saleem and W. Uddin and Javed, {M. A.} and N. Christofides",

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AU - Ali, Z.

AU - Saleem, K.

AU - Uddin, W.

AU - Javed, M. A.

AU - Christofides, N.

PY - 2017/9/1

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N2 - Recently, Asynchronous Motors are extensively used as workhorse in a multitude of industrial and high-performance applications. Induction Motors (IM) have wide applications in today’s industry because of their robustness and low maintenance. A smart and fast speed control system, however, is in most cases a prerequisite for most applications. This work presents a smart control system for IM using an Adaptive Fuzzy Logic Controller (AFLC) based on the Levenberg–Marquardt algorithm. A synchronously rotating reference frame is used to model IM. To achieve maximum efficiency and torque of the IM, speed control was found to be one of the most challenging issues. Indirect Field-Oriented Control (IFOC) or Indirect Vector Control techniques with robust AFLC offer remarkable speed control with high dynamic response. Computer simulation results using MATLAB/Simulink ® Toolbox are described and examined in this study for conventional PI and AFLC. AFLC presents robustness as regards overshoot, undershoot, rise time, fall time, and transient oscillation for speed variation of IFOC IM drive in comparison with classical PI. Moreover, load disturbance rejection capability for the designed control scheme is also verified with the AFL controller.

AB - Recently, Asynchronous Motors are extensively used as workhorse in a multitude of industrial and high-performance applications. Induction Motors (IM) have wide applications in today’s industry because of their robustness and low maintenance. A smart and fast speed control system, however, is in most cases a prerequisite for most applications. This work presents a smart control system for IM using an Adaptive Fuzzy Logic Controller (AFLC) based on the Levenberg–Marquardt algorithm. A synchronously rotating reference frame is used to model IM. To achieve maximum efficiency and torque of the IM, speed control was found to be one of the most challenging issues. Indirect Field-Oriented Control (IFOC) or Indirect Vector Control techniques with robust AFLC offer remarkable speed control with high dynamic response. Computer simulation results using MATLAB/Simulink ® Toolbox are described and examined in this study for conventional PI and AFLC. AFLC presents robustness as regards overshoot, undershoot, rise time, fall time, and transient oscillation for speed variation of IFOC IM drive in comparison with classical PI. Moreover, load disturbance rejection capability for the designed control scheme is also verified with the AFL controller.

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Indirect field-oriented control of induction motor drive based on adaptive fuzzy logic controller

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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