Speed Estimation of Asynchronous Motor Based on Model Reference Adaptive Method and On-line Identification of Rotor Time Constant

2019 The 5th International Conference on Electrical Engineering, Control and Robotics

无线电电子学;计算机科学

Jun, Tong^1 ; Lei, S.H.I.^1 ; Li-Juan, L.I.U.^2 ; Chen-Yue, Fan^1

College of Electrical and Control Engineering, Xi'An University of Science and Technology, Xi'an

710054, China^1

Electric Power Science Research Institute, State Grid Gansu Electric Power Company, Lanzhou

730050, China^2

关键词: Adaptive laws;    Matlab- software;    Model reference adaptive;    On-line identification;    Speed estimation;    Speed sensors;    Superstability;    Without speed sensors;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/533/1/012024/pdf
DOI  :  10.1088/1757-899X/533/1/012024

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

In this paper, the principle of model reference adaptive method (MRAS) is analysed and studied. Aiming at the shortcomings of installing speed sensor to collect the speed signal and feedback to the control system, a method for speed estimation and parameter identification of asynchronous motor without speed sensor is presented, And taking the model reference adaptive method (MRAS) as the main line, the Popov super stability theory is used to derive and analyse the adaptive law. Finally, the proposed method is verified by MATLAB software and hardware circuit experiments.