Optimal Adaptive Control of a DC Motor Using Differential Evolution Variants

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Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages283-288
Number of pages6
ISBN (Print)9781538604892
DOIs
StatePublished - 24 Aug 2018
Event7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017 - Honolulu, United States
Duration: 31 Jul 20174 Aug 2017

Publication series

Name2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017

Conference

Conference7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
Country/TerritoryUnited States
CityHonolulu
Period31/07/174/08/17

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