Open AccessDiagnostics of BLDC motor winding based on a model approach in the state space
Author(s) -
Yury Nikitin
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/971/4/042101
Subject(s) - control theory (sociology) , nonlinear system , identifiability , dc motor , state space , computer science , current (fluid) , nonlinear model , state (computer science) , control engineering , control (management) , engineering , mathematics , physics , artificial intelligence , algorithm , electrical engineering , machine learning , statistics , quantum mechanics
To diagnose a brushless direct current motor, its nonlinear discrete control model is developed in a rotating coordinate system in the state space. The problem of determining the identifiability of this model with different values of the resistance of the motor winding and at different load moments has been solved. This model of controlling a brushless direct current motor can be used to build real-time diagnostic systems.