The Magneto-Thermal Analysis of a High Torque Density Joint Motor for Humanoid Robots

Wu Zhang*, Zhangguo Yu, Xuechao Chen, Qiang Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

The high power capacity of humanoid robot is desired for application of running or jumping motions, and the new generation robot formulate the need for a low-mass high-torque motor. A frameless motor has been designed by the group, it is very important to calculate the thermal field of the motor and get the conclusion for the choice of the motor parameters. The magneto-thermal coupling analysis of the motor was carried out based on the thermal network by the iterative calculation. By using the equivalent thermal network method, the elements copper loss and core loss is coupled into elements in thermal analysis by keeping the same mesh structure between magnetic and thermal analysis. Other losses such as air friction loss, rotor loss are included in the model. A temperature rise calculation program was written and different position temperature distribution was obtained. In the meantime, the steady-state temperature of BLDC was calculated by using the finite element method (FEM). The experimental results show that, the actual torque performance of the motor can reach the target of our design, at last, temperature calculation results obtained from two different methods were compared with experimental data, and the correctness of the calculation model is verified.

Original languageEnglish
Title of host publication2018 IEEE-RAS 18th International Conference on Humanoid Robots, Humanoids 2018
PublisherIEEE Computer Society
Pages112-117
Number of pages6
ISBN (Electronic)9781538672839
DOIs
Publication statusPublished - 2 Jul 2018
Event18th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2018 - Beijing, China
Duration: 6 Nov 20189 Nov 2018

Publication series

NameIEEE-RAS International Conference on Humanoid Robots
Volume2018-November
ISSN (Print)2164-0572
ISSN (Electronic)2164-0580

Conference

Conference18th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2018
Country/TerritoryChina
CityBeijing
Period6/11/189/11/18

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