Title :
Clone selection-based parameter identification applied to permanent magnet synchronous motors
Author :
Zhenzhen, Zhu ; Xi, Xiao ; Qing, Kang
Author_Institution :
Sch. of Inf. & Eng., Univ. of Sci. & Technol., Beijing, China
Abstract :
Parameter identification applied to Permanent Mmagnet Synchronous Motors become a research focus to improve servo control. The paper presents a new method which is clone selection-based parameter identification applied to PMSM. For comparison, the results of identification using the standard particle swarm optimization(SPSO) were also provided finally. It is concluded that the clone selection algorithm(CSA) remarkably improves the accuracy of parameters identification.
Keywords :
parameter estimation; particle swarm optimisation; permanent magnet motors; servomechanisms; synchronous motors; clone selection-based parameter identification; parameter identification; particle swarm optimization; permanent magnet synchronous motors; servo control; Cloning; Immune system; Parameter estimation; Permanent magnet motors; Stators; Synchronous motors; Torque; clone selection algorithm; parameter identification; permanent magnet synchronous motors;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2010 International Conference on
Conference_Location :
Incheon
Print_ISBN :
978-1-4244-7720-3
