Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm

Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm

This paper presents the application of the cuckoo search (CS) algorithm in attempts to the minimization of the commutation torque ripple in the brushless DC motor (BLDC). The optimization algorithm was created based on the cuckoo’s reproductive behavior. The lumped-parameters mathematical model of t...

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Main Authors: Łukasz Knypiński, Sebastian Kuroczycki, Fausto Pedro García Márquez
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Electronics
Subjects:
heuristic optimization algorithm
cuckoo search algorithm
brushless DC motor
torque ripple
constrained optimization
static penalty function
Online Access:https://www.mdpi.com/2079-9292/10/18/2299
id doaj-3c994fb2d5f5414eb093633a7b5ef940
record_format Article
spelling doaj-3c994fb2d5f5414eb093633a7b5ef9402021-09-26T00:03:43ZengMDPI AGElectronics2079-92922021-09-01102299229910.3390/electronics10182299Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search AlgorithmŁukasz Knypiński0Sebastian Kuroczycki1Fausto Pedro García Márquez2Institute of Electrical Engineering and Electronics, Poznan University of Technology, Piotrowo 3A, 60-965 Poznan, PolandInstitute of Electrical Engineering and Electronics, Poznan University of Technology, Piotrowo 3A, 60-965 Poznan, PolandIngenium Research Group, University of Castilla-La Mancha, 13071 Ciudad Real, SpainThis paper presents the application of the cuckoo search (CS) algorithm in attempts to the minimization of the commutation torque ripple in the brushless DC motor (BLDC). The optimization algorithm was created based on the cuckoo’s reproductive behavior. The lumped-parameters mathematical model of the BLDC motor was developed. The values of self-inductances, mutual inductances, and back-electromotive force waveforms applied in the mathematical model were calculated by the use of the finite element method. The optimization algorithm was developed in Python 3.8. The CS algorithm was coupled with the static penalty function. During the optimization process, the shape of the voltage supplying the stator windings was determined to minimize the commutation torque ripple. Selected results of computer simulation are presented and discussed.https://www.mdpi.com/2079-9292/10/18/2299heuristic optimization algorithmcuckoo search algorithmbrushless DC motortorque rippleconstrained optimizationstatic penalty function
collection DOAJ
language English
format Article
sources DOAJ
author Łukasz Knypiński
Sebastian Kuroczycki
Fausto Pedro García Márquez
spellingShingle Łukasz Knypiński
Sebastian Kuroczycki
Fausto Pedro García Márquez
Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm
Electronics
heuristic optimization algorithm
cuckoo search algorithm
brushless DC motor
torque ripple
constrained optimization
static penalty function
author_facet Łukasz Knypiński
Sebastian Kuroczycki
Fausto Pedro García Márquez
author_sort Łukasz Knypiński
title Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm
title_short Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm
title_full Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm
title_fullStr Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm
title_full_unstemmed Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm
title_sort minimization of torque ripple in the brushless dc motor using constrained cuckoo search algorithm
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2021-09-01
description This paper presents the application of the cuckoo search (CS) algorithm in attempts to the minimization of the commutation torque ripple in the brushless DC motor (BLDC). The optimization algorithm was created based on the cuckoo’s reproductive behavior. The lumped-parameters mathematical model of the BLDC motor was developed. The values of self-inductances, mutual inductances, and back-electromotive force waveforms applied in the mathematical model were calculated by the use of the finite element method. The optimization algorithm was developed in Python 3.8. The CS algorithm was coupled with the static penalty function. During the optimization process, the shape of the voltage supplying the stator windings was determined to minimize the commutation torque ripple. Selected results of computer simulation are presented and discussed.
topic heuristic optimization algorithm
cuckoo search algorithm
brushless DC motor
torque ripple
constrained optimization
static penalty function
url https://www.mdpi.com/2079-9292/10/18/2299
work_keys_str_mv AT łukaszknypinski minimizationoftorquerippleinthebrushlessdcmotorusingconstrainedcuckoosearchalgorithm
AT sebastiankuroczycki minimizationoftorquerippleinthebrushlessdcmotorusingconstrainedcuckoosearchalgorithm
AT faustopedrogarciamarquez minimizationoftorquerippleinthebrushlessdcmotorusingconstrainedcuckoosearchalgorithm
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