Optimized speed controller for induction motor drive using quantum lightning search algorithm

Jamal Abd Ali, Hannan M A, Azah Mohamed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents an improve proportional-integral-derivative (PID) controller design technique for controlling a three-phase induction motor (TIM) speed drive using quantum lightning search algorithm (QLSA). This proposed controller avoids the exhaustive conventional trial- and-error procedure for obtaining PID parameters. Objective function using in the proposed controller is mean absolute error (MAE) to enhance the TIM speed performance under sudden change of the speed and load conditions. The QLSA is used to improve two controller system PID and PI controllers in the TIM drive. Moreover, the QLSA algorithm comperes with three optimization algorithms, namely, lightning search algorithm (LSA), the backtracking search algorithm (BSA), the particle swarm optimization (PSO). Designed and validated the simulation model by using a MATLAB/Simulink environment. Results show that the QLSA-based PID and PI speed controller is achieved better results than the other optimization controllers through reduce of damping capability, enhance the transient response, minimize the MAE, root mean square error (RMSE) and standard division (SD) of the speed response.

Original languageEnglish
Title of host publicationPECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages511-516
Number of pages6
ISBN (Electronic)9781509025473
DOIs
Publication statusPublished - 16 Jun 2017
Event6th IEEE International Conference on Power and Energy, PECON 2016 - Melaka, Malaysia
Duration: 28 Nov 201629 Nov 2016

Other

Other6th IEEE International Conference on Power and Energy, PECON 2016
CountryMalaysia
CityMelaka
Period28/11/1629/11/16

Fingerprint

Lightning
Induction motors
Controllers
Derivatives
Transient analysis
Mean square error
Particle swarm optimization (PSO)
MATLAB
Damping

Keywords

  • PID and PI controller
  • Quantum lightning search algorithm
  • Three-phase induction motor
  • V/f control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Fuel Technology

Cite this

Ali, J. A., M A, H., & Mohamed, A. (2017). Optimized speed controller for induction motor drive using quantum lightning search algorithm. In PECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding (pp. 511-516). [7951615] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PECON.2016.7951615

Optimized speed controller for induction motor drive using quantum lightning search algorithm. / Ali, Jamal Abd; M A, Hannan; Mohamed, Azah.

PECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding. Institute of Electrical and Electronics Engineers Inc., 2017. p. 511-516 7951615.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ali, JA, M A, H & Mohamed, A 2017, Optimized speed controller for induction motor drive using quantum lightning search algorithm. in PECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding., 7951615, Institute of Electrical and Electronics Engineers Inc., pp. 511-516, 6th IEEE International Conference on Power and Energy, PECON 2016, Melaka, Malaysia, 28/11/16. https://doi.org/10.1109/PECON.2016.7951615
Ali JA, M A H, Mohamed A. Optimized speed controller for induction motor drive using quantum lightning search algorithm. In PECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding. Institute of Electrical and Electronics Engineers Inc. 2017. p. 511-516. 7951615 https://doi.org/10.1109/PECON.2016.7951615
Ali, Jamal Abd ; M A, Hannan ; Mohamed, Azah. / Optimized speed controller for induction motor drive using quantum lightning search algorithm. PECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 511-516
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