Title :
Shunt-wound motor parameter estimation by a genetic algorithm
Author :
Mach, M. ; Grmela, P. ; Hajek, V.
Author_Institution :
Dept. of Power Electron. Eng., Brno Univ. of Technol., Brno, Czech Republic
Abstract :
This article deals with estimation of shunt-wound motor parameters with help of a genetic algorithm. Only time waveform of total current drawn from a source (i.e. sum of an armature current and a field winding current) during transient after step-voltage application and corresponding steady-state value of angular velocity are used to all parameters estimation. Results of parameters estimation by a genetic algorithm are compared with results of laboratory measurement.
Keywords :
DC motors; genetic algorithms; parameter estimation; transient analysis; DC motors; angular velocity; armature current; field winding current; genetic algorithm; laboratory measurement; shunt-wound motor parameter estimation; transient analysis; Angular velocity; Genetic algorithms; Inductance; Mathematical model; Radio frequency; Steady-state; Windings; DC motors; Genetic algorithms; Parameter estimation;
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2012 International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
978-1-4673-1299-8
DOI :
10.1109/SPEEDAM.2012.6264432
