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

Mahammad A. Hannan, Jamal A. Ali, Azah Mohamed, Ungku Anisa Ungku Amirulddin, Nadia Mei Lin Tan, Mohammad Nasir Uddin

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

© 1972-2012 IEEE. The main objective of this study is to develop a quantum-behaved lightening search algorithm (QLSA) to improve the indirect field-oriented fuzzy-proportional-integral (PI) controller technique to control a three-phase induction motor (TIM) drive. The generated adaptive PI current control parameters and fuzzy membership functions are carried to design induction motor 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 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, gravitational search algorithm, backtracking search algorithm, and particle swarm optimization 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 the root-mean-square error, as well as standard deviation 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
Pages3793-3805
Number of pages3412
DOIs
Publication statusPublished - 01 Jul 2018
EventIEEE Transactions on Industry Applications -
Duration: 01 Jul 2018 → …

Conference

ConferenceIEEE Transactions on Industry Applications
Period01/07/18 → …

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

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

Hannan, Mahammad A. ; Ali, Jamal A. ; Mohamed, Azah ; Amirulddin, Ungku Anisa Ungku ; Tan, Nadia Mei Lin ; Uddin, Mohammad Nasir. / Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive. Paper presented at IEEE Transactions on Industry Applications, .3412 p.
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title = "Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive",
abstract = "{\circledC} 1972-2012 IEEE. The main objective of this study is to develop a quantum-behaved lightening search algorithm (QLSA) to improve the indirect field-oriented fuzzy-proportional-integral (PI) controller technique to control a three-phase induction motor (TIM) drive. The generated adaptive PI current control parameters and fuzzy membership functions are carried to design induction motor 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 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, gravitational search algorithm, backtracking search algorithm, and particle swarm optimization 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 the root-mean-square error, as well as standard deviation 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.",
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Hannan, MA, Ali, JA, Mohamed, A, Amirulddin, UAU, Tan, NML & Uddin, MN 2018, 'Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive' Paper presented at IEEE Transactions on Industry Applications, 01/07/18, pp. 3793-3805. https://doi.org/10.1109/TIA.2018.2821644

Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive. / Hannan, Mahammad A.; Ali, Jamal A.; Mohamed, Azah; Amirulddin, Ungku Anisa Ungku; Tan, Nadia Mei Lin; Uddin, Mohammad Nasir.

2018. 3793-3805 Paper presented at IEEE Transactions on Industry Applications, .

Research output: Contribution to conferencePaper

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