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

Research output: Contribution to journalArticlepeer-review

13 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 languageEnglish
Pages (from-to)18380-18394
Number of pages15
JournalIEEE Access
Volume10
DOIs
Publication statusPublished - 2022
Externally publishedYes

Keywords

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

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