Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)

Asynchronous Motor Parameter Identification Based on Vector Control

Authors
Dao Zhang, Tao Huang
Corresponding Author
Dao Zhang
Available Online March 2018.
DOI
https://doi.org/10.2991/iceea-18.2018.34How to use a DOI?
Keywords
asynchronous motor; vector control; parameter identification; matlab/simulink simulation
Abstract
In the three-phase asynchronous motor vector control system, the internal parameters of the motor will directly affect the performance of vector control. Using the existing resources of the voltage type inverter speed regulation system of induction motor, the DC test, the no-load test and the single-phase AC experiment of the motor are used to input different excitation signals to the motor to detect the voltage and current response of the motor, and the stator resistance, Stator and rotor mutual inductance, stator resistance and stator and rotor leakage inductance. Combined with the theory, using MATLAB /SIMULINK tools to build the simulation model to identify the relevant parameters of the motor, and finally use the identified parameters to build three-phase AC induction motor vector control system simulation. The results show that the control system has good speed performance.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-497-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceea-18.2018.34How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dao Zhang
AU  - Tao Huang
PY  - 2018/03
DA  - 2018/03
TI  - Asynchronous Motor Parameter Identification Based on Vector Control
BT  - 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceea-18.2018.34
DO  - https://doi.org/10.2991/iceea-18.2018.34
ID  - Zhang2018/03
ER  -