System identification of a DC motor using PSO algorithm
DOI:
https://doi.org/10.17533/udea.redin.14720Keywords:
system identification, particle swarm optimization, intelligent optimizationAbstract
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.
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