Open AccessSpeed Estimation of Asynchronous Motor Based on Model Reference Adaptive Method and On-line Identification of Rotor Time Constant
Author(s) -
Jun Tang,
Lei Shi,
Lijuan Liu,
Chenyue Fan
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/533/1/012024
Subject(s) - mras , control theory (sociology) , computer science , asynchronous communication , matlab , identification (biology) , control engineering , constant (computer programming) , rotor (electric) , reference model , adaptive control , induction motor , adaptive system , signal (programming language) , line (geometry) , estimation theory , vector control , engineering , algorithm , control (management) , mathematics , artificial intelligence , voltage , mechanical engineering , computer network , botany , geometry , software engineering , electrical engineering , biology , programming language , operating system
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.