A Quantum Lightning Search Algorithm-Based Fuzzy Speed Controller for Induction Motor Drive

Mahammad A. Hannan, Jamal Abd Ali, Aini Hussain, Fazida Hanim Hasim, Ungku Anisa Ungku Amirulddin, Mohammad Nasir Uddin, Frede Blaabjerg

Research output: Contribution to journalArticle

10 Citations (Scopus)


This paper presents a quantum lightning search algorithm (QLSA)-based optimization technique for controlling speed of the induction motor (IM) drive. The developed QLSA is implemented in fuzzy logic controller to generate suitable input and output fuzzy membership function for IM drive speed controller. The main objective of this paper is to develop QLSA-based fuzzy (QLSAF) speed controller to minimise the mean absolute error in order to improve the performance of the IM drive with changes in speed and mechanical load. The QLSAF-based speed controller is implemented in simulation model in the MATLAB/Simulink environment and the prototype is fabricated and experimentally tested in a fully integrated DSP for controlling the IM drive system. The experimental results of the developed QLSAF speed controller are compared with the simulation results under different performance conditions. Several experimental results show that there are good agreement of the controller parameters, SVPWM signals, and different types of speed responses and stator currents with the simulation results, which are verified and validated the performance of the proposed QLSAF speed controller. Also, the proposed QLSAF speed controller outperforms other studies with settling time in simulation and in experimental implementation, which validates the controller performance as well.

Original languageEnglish
Pages (from-to)1214-1223
Number of pages10
JournalIEEE Access
Publication statusPublished - 27 Nov 2017

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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