Adaptive control of a DC motor based on swarm intelligence

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The effect of uncertainties in the stabilization of the velocity control of a DC motor is compensated by proposing an adaptive control based on Particle Swarm Optimization (ACPSO). The ACPSO is based on an on-line dynamic optimization problem with dynamic constraints. The empirical analysis based on modifying the inertia weight of the ACPSO indicates that it can effectively regulate the motor's velocity and hence the ACPSO can be another alternative to control the DC motor under parametric uncertainties. Simulation results verify the proposed approach.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015
EditoresQuoc-Nam Tran, Leonidas Deligiannidis, Hamid R. Arabnia
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas192-197
Número de páginas6
ISBN (versión digital)9781467397957
DOI
EstadoPublicada - 2 mar. 2016
EventoInternational Conference on Computational Science and Computational Intelligence, CSCI 2015 - Las Vegas, Estados Unidos
Duración: 7 dic. 20159 dic. 2015

Serie de la publicación

NombreProceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015

Conferencia

ConferenciaInternational Conference on Computational Science and Computational Intelligence, CSCI 2015
País/TerritorioEstados Unidos
CiudadLas Vegas
Período7/12/159/12/15

Huella

Profundice en los temas de investigación de 'Adaptive control of a DC motor based on swarm intelligence'. En conjunto forman una huella única.

Citar esto