Title :
Experiment and modeling on heat power of permanent-magnet synchronous motor
Author :
Shunjie Zhu ; Yunhua Li ; Yun-ze Li ; Hao Gu ; Qi Lu ; Duanling Li
Author_Institution :
Sch. of Autom. Sci. & Eng., Beihang Univ., Beijing, China
Abstract :
This paper presents a novel methodology for measuring the heat power of a permanent-magnet synchronous motor based on the thermal equivalence principle. Firstly, a set of experimental apparatus has been designed and implemented. Then a series of experiments has been conducted for obtaining a set of heat power values of the motor working at different speed and torque. Based on the experimental data, the algorithms of fitting regression and SVM regression have been respectively employed to build the heat power models. The analysis and comparison of the two models shows that they both have a good accuracy in predicting the motor heat power in testing range.
Keywords :
electric machine analysis computing; permanent magnet motors; regression analysis; support vector machines; synchronous motors; SVM regression; fitting regression; heat power measurement; heat power values; permanent-magnet synchronous motor; thermal equivalence principle; DC motors; Fitting; Heating; Iron; Support vector machines; Synchronous motors; Torque; Heat power; SVM; least-squared method; permanent-magnet synchronous motor (PMSM);
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566335