Adaptive parameter identification based on dead-time compensation for permanent magnet synchronous machines for the 2011 11th International Conference on Control, Automation and Systems (ICCAS 2011)

Xiao Li*, Tao Wang, Wei Fan

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

The objective of this paper is to investigate an accurate on-line parameters identification method for PMSM. Because a majority of controllers are based on motor models, the parameters of stator resistance and dq-axis inductances play important roles for achieving high-performance control. However, voltage drop between the reference and output voltage in a pulse width-modulation (PWM) voltage source inverter affects the accuracy of identification. In this paper a model-reference adaptive identification method is proposed with a simple method for compensating the voltage drop of inverter in the driven system. The global stability of adaptive laws is proved by the Popov's hyper-stability theory. Simulation results proved that the estimated stator resistance and dq-axis inductances converge to the constant after the rotor speed becomes stable. The compensation method introduced in the MRAS is easy to implement without any additional circuits. Experimental results demonstrate the effectiveness of the proposed identified method and the compensation method.

源语言英语
主期刊名ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems
1570-1575
页数6
出版状态已出版 - 2011
活动2011 11th International Conference on Control, Automation and Systems, ICCAS 2011 - Gyeonggi-do, 韩国
期限: 26 10月 201129 10月 2011

出版系列

姓名International Conference on Control, Automation and Systems
ISSN(印刷版)1598-7833

会议

会议2011 11th International Conference on Control, Automation and Systems, ICCAS 2011
国家/地区韩国
Gyeonggi-do
时期26/10/1129/10/11

指纹

探究 'Adaptive parameter identification based on dead-time compensation for permanent magnet synchronous machines for the 2011 11th International Conference on Control, Automation and Systems (ICCAS 2011)' 的科研主题。它们共同构成独一无二的指纹。

引用此