Optimal Adaptive Control of a DC Motor Using Differential Evolution Variants

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Resumen

In this work, a novel adaptive control strategy for the speed regulation task of a DC motor is presented. The control strategy is based on the formulation of an on-line dynamic optimization problem, which solution is a set of DC motor parameters that are used in calculating the control signal. The optimization problem is solved by using ten different variants of the meta-heuristic technique Differential Evolution (DE). Results in simulation are compared to determine the most effective variant for its use in this problem. Additionally, the proposed strategy is compared with two classical controllers, a Model Reference Adaptive Controller (MRAC) and a PI controller, in order to highlight its benefits.

Idioma originalInglés
Título de la publicación alojada2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas283-288
Número de páginas6
ISBN (versión impresa)9781538604892
DOI
EstadoPublicada - 24 ago. 2018
Evento7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017 - Honolulu, Estados Unidos
Duración: 31 jul. 20174 ago. 2017

Serie de la publicación

Nombre2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017

Conferencia

Conferencia7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
País/TerritorioEstados Unidos
CiudadHonolulu
Período31/07/174/08/17

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