TY - GEN
T1 - Assembly states identification for electromechanical actuator based on motor current signal analysis
AU - Zhao, Shenglin
AU - Li, Yunhua
AU - Yang, Liman
AU - Wang, Qu
AU - Nie, Zhenjin
AU - Lu, Hao
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The integrated friction characteristics will cause assembly states of electromechanical actuator abnormal in the factory stage. To solve this problem, this paper presents a new method for identifying assembly states of electromechanical actuator based on electrical motor current signal analysis. The advantage of this method is that it can be used to evaluate the final performance in the assembly stage of electromechanical actuator. A mathematical integrated friction model of electromechanical actuator is established by MATLAB/Simulink, and the integrated friction characteristics are identified based on the motor current analysis method. Finally, this paper can identify the assembly state of electromechanical actuator according to the assembly states experience affected by friction characteristics in the practical application and the simulation results of the integrated friction characteristics. By on-the-spot testing and practical application, it is proved that this assembly states identification method is effective and can meet the use requirements.
AB - The integrated friction characteristics will cause assembly states of electromechanical actuator abnormal in the factory stage. To solve this problem, this paper presents a new method for identifying assembly states of electromechanical actuator based on electrical motor current signal analysis. The advantage of this method is that it can be used to evaluate the final performance in the assembly stage of electromechanical actuator. A mathematical integrated friction model of electromechanical actuator is established by MATLAB/Simulink, and the integrated friction characteristics are identified based on the motor current analysis method. Finally, this paper can identify the assembly state of electromechanical actuator according to the assembly states experience affected by friction characteristics in the practical application and the simulation results of the integrated friction characteristics. By on-the-spot testing and practical application, it is proved that this assembly states identification method is effective and can meet the use requirements.
KW - assembly states identification
KW - electromechanical actuator
KW - integrated friction characteristics
KW - motor current analysis
UR - https://www.scopus.com/pages/publications/85047444333
U2 - 10.1109/ICIEA.2017.8283174
DO - 10.1109/ICIEA.2017.8283174
M3 - 会议稿件
AN - SCOPUS:85047444333
T3 - Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
SP - 2043
EP - 2048
BT - Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
Y2 - 18 June 2017 through 20 June 2017
ER -