Resumen

DUARTE, César  y  QUIROGA, Jabid. System identification of a DC motor using PSO algorithm. Rev.fac.ing.univ. Antioquia [online]. 2010, n.55, pp.116-124. ISSN 0120-6230.

In this paper an application of Particle Swarm Optimization (PSO) algorithm is presented as strategy for parameters determination of a grey box system. This system identification process is implemented based on the open loop step response for a DC motor. The vector space is bounded via step time response to speed up the parameter identification. The PSO algorithm is implemented and validated using the PSOt Matlab® toolbox developed by Brian Birge.

Palabras clave : particle swarm optimization; System Identification; particle swarm optimization; intelligent optimization.

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