Springer Nature
Soft Computing
,  volume 23 ,  issue 3 ,  pages 889-906

An adaptive control study for the DC motor using meta-heuristic algorithms

Alejandro Rodríguez Molina 1
, 
Miguel Gabriel Villarreal-Cervantes 1
, 
Mario Aldape Pérez 1
1
 
Publication type: Journal Article
Publication date: 2017-08-29
Springer Nature
scimago Q2
wos Q3
SJR: 0.674
CiteScore: 8.1
Impact factor: 2.5
ISSN: 14327643, 14337479
Software
Theoretical Computer Science
Geometry and Topology
Abstract
In this work, a comparative study of different meta-heuristic techniques in the adaptive control for the speed regulation of the DC motor with parameters uncertainties is presented. The adaptive control is established as the online solution of a constrained dynamic optimization problem. Several adaptive strategies based on Differential Evolution, Particle Swarm Optimization, Bat Algorithm, Firefly Algorithm, Wolf Search Algorithm and Genetic Algorithm are proposed in order to online tune the parameters of the DC motor control. Simulation results show that proposed adaptive control strategies are a viable alternative to regulate the speed of the motor subject to different operation scenarios. The statistical analysis given in this work shows the features and the differences among strategies, their feasibility to set them up experimentally and also a new hybrid strategy to efficiently solve the problem. In addition, comparative analysis with a robust control approach reveal the advantages of the adaptive strategy based on meta-heuristic techniques in the velocity regulation of the DC motor.
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Rodríguez Molina A., Villarreal-Cervantes M. G., Aldape Pérez M. An adaptive control study for the DC motor using meta-heuristic algorithms // Soft Computing. 2017. Vol. 23. No. 3. pp. 889-906.
GOST all authors (up to 50) Copy
Rodríguez Molina A., Villarreal-Cervantes M. G., Aldape Pérez M. An adaptive control study for the DC motor using meta-heuristic algorithms // Soft Computing. 2017. Vol. 23. No. 3. pp. 889-906.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1007/s00500-017-2797-y
UR - https://doi.org/10.1007/s00500-017-2797-y
TI - An adaptive control study for the DC motor using meta-heuristic algorithms
T2 - Soft Computing
AU - Rodríguez Molina, Alejandro
AU - Villarreal-Cervantes, Miguel Gabriel
AU - Aldape Pérez, Mario
PY - 2017
DA - 2017/08/29
PB - Springer Nature
SP - 889-906
IS - 3
VL - 23
SN - 1432-7643
SN - 1433-7479
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2017_Rodríguez Molina,
author = {Alejandro Rodríguez Molina and Miguel Gabriel Villarreal-Cervantes and Mario Aldape Pérez},
title = {An adaptive control study for the DC motor using meta-heuristic algorithms},
journal = {Soft Computing},
year = {2017},
volume = {23},
publisher = {Springer Nature},
month = {aug},
url = {https://doi.org/10.1007/s00500-017-2797-y},
number = {3},
pages = {889--906},
doi = {10.1007/s00500-017-2797-y}
}
MLA
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MLA Copy
Rodríguez Molina, Alejandro, et al. “An adaptive control study for the DC motor using meta-heuristic algorithms.” Soft Computing, vol. 23, no. 3, Aug. 2017, pp. 889-906. https://doi.org/10.1007/s00500-017-2797-y.