A Luenberger-Sliding Mode Observer for Online Parameter Estimation and Adaptation in High-Performance Induction Motor Drives

被引：75
作者：
Hasan, S. M. Nayeem [1 ]
Husain, Iqbal [2 ]
机构：
[1] Gen Motors, Hybrid Dev Ctr, Troy, MI 48083 USA
[2] Univ Akron, Dept Elect & Comp Engn, Akron, OH 44325 USA
来源：
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2009年 / 45卷 / 02期
关键词：
Hardware-in-the-loop (HIL) simulation; induction motor; Luenberger-sliding mode observer; online parameter estimation; parameter variation; SPEED; FLUX;
D O I：
10.1109/TIA.2009.2013602
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The performance and efficiency of an induction motor drive system can be enhanced by online estimation of the critical parameters, such as the rotor time constant and stator resistance. A novel Luenberger-sliding mode observer with parameter adaptation algorithm is proposed in this paper to compensate for the parameter variation effects. The observer is simple and robust when compared with the previously developed observers, and suitable for online implementation. A field-programmable-gate-array-based controller has been implemented, and demonstrated using hardware-in-the-loop simulation setup. An experiment has been carried out with an induction motor using the controller to verify the algorithm.
引用
收藏
页码：772 / 781
页数：10
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