Revista Facultad de Ingeniería Universidad de Antioquia
Print version 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.
Keywords : particle swarm optimization; System Identification; particle swarm optimization; intelligent optimization.