Assembly states identification for electromechanical actuator based on motor current signal analysis

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.

[1]  Zhonghai Li,et al.  Simulation and fault diagnosis for BLDCM , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

[2]  Changliang Xia,et al.  A Current Control Scheme of Brushless DC Motors Driven by Four-Switch Three-Phase Inverters , 2017, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[3]  Bo Zhou,et al.  Hardware-in-loop simulation of wind turbine based on BLDCM , 2009, 2009 World Non-Grid-Connected Wind Power and Energy Conference.

[4]  Li Yifan.  DC Motor Speed Calculation Based on Armature Current Measurement , 2011, 2011 Third International Conference on Measuring Technology and Mechatronics Automation.

[5]  L Romeral,et al.  Electrical monitoring for fault detection in an EMA , 2010, IEEE Aerospace and Electronic Systems Magazine.

[6]  Wei Jia,et al.  Experimental Research on Current-Carrying and Friction Characteristics of Sliding Electrical Contact , 2010, 2010 Proceedings of the 56th IEEE Holm Conference on Electrical Contacts.

[7]  Anish Gopinath,et al.  Modeling and simulation analysis of a redundant electromechanical actuator based position servo system , 2011, 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET).

[8]  Dong Liang,et al.  System identification and sliding mode control design for electromechanical actuator with harmonic gear drive , 2016, 2016 Chinese Control and Decision Conference (CCDC).

[9]  Z. Yao,et al.  Friction and wear test device of linear ultrasonic motor and experimental studies , 2010, 2011 Symposium on Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA).

[10]  Han Xu,et al.  Incremental modelling and simulation of power drive electronics and motor for flight control electromechanical actuators application , 2015, 2015 IEEE International Conference on Mechatronics and Automation (ICMA).

[11]  Bangcheng Han,et al.  Active Damping Stabilization for High-Speed BLDCM Drive System Based on Band-Pass Filter , 2017, IEEE Transactions on Power Electronics.

[12]  B. G. L. T. Samaranayake,et al.  Low cost torque estimator for DC servo motors , 2015, 2015 IEEE 10th International Conference on Industrial and Information Systems (ICIIS).

[13]  Jian Zhang,et al.  Fault Diagnosis Method of Gearbox Based on Local Mean Decomposition , 2013 .

[14]  P. Anju,et al.  Multiphase motor based electromechanical actuator for engine gimbal control -prospects & challenges , 2015, 2015 International Conference on Technological Advancements in Power and Energy (TAP Energy).

[15]  Xiao-Dong Zhang.  Simulation Analysis on Differential Speed Drive of Double BLDCM Based on PID , 2008, 2008 3rd International Conference on Innovative Computing Information and Control.