Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for IM Drive

Hannan M A, J. A. Ali, Azah Mohamed, U. A.U. Amiruldin, Nadia Mei Lin Tan, Mohammad Uddin

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The main objective of this study is to develop a quantum-behaved lightening search algorithm (QLSA) to improve the indirect field-oriented fuzzy-PI controller technique to control a three-phase induction motor (TIM) drive. The generated adaptive PI current control parameters and fuzzy membership functions (MFs) are carried to design induction motor (IM) drive speed controller to minimize the fitness function formulated by QLSA. An optimal QLSA-based indirect field-oriented control (QLSA-IFOC) fitness function is used to reduce the mean absolute error (MAE) of the rotor speed to improve the performance of the TIM with varying speed and mechanical load. Results obtained from the QLSA-IFOC are compared with those obtained through lightening search algorithm (LSA), gravitational search algorithm (GSA), backtracking search algorithm (BSA), and particle swarm optimization (PSO) to validate the developed controller. The optimization results of objective functions in terms of box plots and iterations show that the QLSA algorithm outperforms the other optimization algorithms. Moreover, the QLSA-IFOC controller performed well in all tests in terms of transient response. The developed controller also minimizes overshoot, increases damping capability and reduces of the root mean square error (RMSE) as well as standard deviation (SD) under sudden change of speed and mechanical loads. A comparative analysis is performed between simulation and experimental results to justify the efficiency of the developed controller.

Original languageEnglish
JournalIEEE Transactions on Industry Applications
DOIs
Publication statusAccepted/In press - 29 Mar 2018

Fingerprint

Lightning
Fuzzy control
Induction motors
Controllers
Electric current control
Membership functions
Transient analysis
Mean square error
Particle swarm optimization (PSO)
Rotors
Damping

Keywords

  • Fuzzy logic
  • fuzzy logic speed controller
  • Indirect field oriented control
  • induction motor
  • Induction motors
  • Optimization
  • PI controller
  • QLSA
  • Rotors
  • Stators
  • Torque
  • Voltage control

ASJC Scopus subject areas

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

Cite this

Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for IM Drive. / M A, Hannan; Ali, J. A.; Mohamed, Azah; Amiruldin, U. A.U.; Tan, Nadia Mei Lin; Uddin, Mohammad.

In: IEEE Transactions on Industry Applications, 29.03.2018.

Research output: Contribution to journalArticle

M A, Hannan ; Ali, J. A. ; Mohamed, Azah ; Amiruldin, U. A.U. ; Tan, Nadia Mei Lin ; Uddin, Mohammad. / Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for IM Drive. In: IEEE Transactions on Industry Applications. 2018.
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