Open AccessModeling and simulation of induction motor based on Time Scale Frame Transformation
Author(s) -
Pengfei Tian,
Qiumeng Qu,
Yiming Cai,
Yu Cheng,
Yuzhi Xu,
Shujun Yao,
Yan Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/4/042013
Subject(s) - induction motor , transformation (genetics) , phasor , frame (networking) , computer science , control theory (sociology) , matlab , signal (programming language) , scale (ratio) , transient (computer programming) , reference frame , control engineering , power (physics) , electric power system , engineering , voltage , artificial intelligence , physics , electrical engineering , telecommunications , biochemistry , chemistry , control (management) , quantum mechanics , gene , programming language , operating system
The time scale frame transformation is used to construct the analytic signal for single signal, and the large step simulation is carried out after the frequency reduction is rotated. It avoids the double frequency problem of Park transformation when the three-phase power system is asymmetrical, and also avoids the complexity of dynamic phasor method which needs to deal with the asymmetry problem in positive and negative zero order. Based on the principle of time scale frame transformation and the VBR model of induction motor, a time scale frame transformation model of induction motor is established. Then, the time scale frame transformation model of induction motor is programmed by Matlab software, and compared with the electromagnetic transient model of classical induction motor built by Simulink platform. The simulation example shows the accuracy and efficiency of the time scale frame transformation model of induction motor.