Authors: A.N. Gargaev, V.G. Kashirskikh

Title of the article: Parameter identification based on particle swarm optimization applied to dc motor

Year: 2015, Issue: 4, Pages: 71-74

Branch of knowledge: Electrical engineering

Index UDK: 622.313.33

DOI: -

Abstract: Particle swarm optimization for online parameters identification of DC Motors is considered and results of computer modeling which allow to recommend this method for on-line condition monitoring of motors are given. Results of monitoring are the parameter values of a motor which can be used for control, protection and diagnostics of technical state direct-current drives.

Key words: power diagnostics identification artificial intelligence Particle Swarm Optimization

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