Modeling and Simulation Analysis of Motorized Spindle Vector Control

Article Preview

Abstract:

In this paper, a vector control model based on MRAS with speed sensorless is established and observed the influence of parameters on the output waveform of speed and torque by changing the parameters of and in PI regulator of speed calculating module. Experimental results show that the precision of speed recognition is affected by the parameters and . It is verified that the optimal value of and in the model is when is 4400 and is 1.98.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

956-960

Citation:

Online since:

March 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] GuoHua Li, JiQiang Wang. New Method of Speed Identification Based on Model Reference Adaptive Sliding Mode Control[J]. Electric Drive, 2011, 41(9): pp.10-13.

Google Scholar

[2] Sahhary Bassel, Abbas Hossam. On-line speed estimation based on ANN for PMSM sensorless speed control[J]. Proceedings of the 27th IASTED International Conference on Modelling, Identification, and Control, (2008).

Google Scholar

[3] Dan Wang, XuLiang Yao, XiaoSan Wang, Wei Huo. The research of speed sensor-less vector control system based on variable parameter MRAS[J]. Applied Science and Technology, 2006, 33(8).

Google Scholar

[4] JunFeng Liu, YeSong Li. Stator Resistance Influence on Speed Sensorless System and On-line Tuning[J]. Electric Drive, 2007, 37(11): pp.6-9.

Google Scholar

[5] XiaoAn Chen, HuiMin Kang, Ye He, Man Chen, YingYun Miao, WenQu Chen. Dynamic Performance Analysis of High Speed Motorized Spindle under Speed Sensor-less Vector Control[J]. Chinese Journal of Mechanical Engineering, 2010, 46(7): pp.96-98.

DOI: 10.3901/jme.2010.07.096

Google Scholar

[6] XiaoQian Sun. Modeling and Simulation of Asynchronous Motor Vector Control System [J]. Policy & Management, 2009, 5(3): pp.62-63.

Google Scholar