Speed control of brushless de motor using Ant Colony Optimization

Autor:	Sie Ouattara, Bonzou A. Kouassi, M. J. Mbyamm Kiki, Yiming Zhang
Rok vydání:	2020
Předmět:	Electronic speed control Computer science Control theory Ant colony optimization algorithms
Zdroj:	IOP Conference Series: Earth and Environmental Science. 431:012022
ISSN:	1755-1315 1755-1307
DOI:	10.1088/1755-1315/431/1/012022
Popis:	DC motor has as a key aspect of industrial applications. Thus, due to their high performance, BLDC motors are preferred as a small horsepower motor. However, it is hard to acquire the good controlling performance with traditional tuning approaches in order to solve the speed control. This paper provides an approach of determining the optimum control parameters of PID for the BLDC speed control using the Ant Colony Optimization (ACO), which is an intelligent algorithm based on feeding behavior of the swarm. The efficiency and validity of the design method based on ACO are shown in the Simulation outcomes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0f9575549324228f23b3e4c537215c47 https://doi.org/10.1088/1755-1315/431/1/012022 Zobrazit plný text záznamu