Comparison Study of Induction Motor Models Considering Iron Loss for Electric Drives

Kang Wang, Ruituo Huai, Zhihao Yu, Xiaoyang Zhang, Fengjuan Li and Luwei Zhang
Additional contact information
Kang Wang: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Ruituo Huai: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China
Zhihao Yu: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Xiaoyang Zhang: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Fengjuan Li: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Luwei Zhang: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China

Energies, 2019, vol. 12, issue 3, 1-13

Abstract: In a variety of motor models, the effects of iron-loss (ILS) on motor control accuracy and efficiency are generally ignored. This makes it difficult for the motor control system to obtain accurate control parameters (especially on high speed and low load conditions), and limits the improvement of motor control accuracy. This paper aims to clarify the influence of different ILS modeling and observation methods on motor control performance. Three equivalent models of motors with iron losses are compared. These models are: A parallel model, a series model and the simplified traditional model. Three tests are conducted to obtain the effect of ILS perturbation on ILS estimation results, and then to derive the sensitivity of the motor state and torque to the perturbation. These test conditions include: Ideal no-load, heavy-load, locked-rotor, and ILS perturbations during speed regulation. Simulation results show that the impedance and excitation characteristics of the series model and the parallel model are similar, and the traditional model has the best speed regulation smoothness. The ILS estimation errors of the series model is nearly constant and easy to compensate. For accurate ILS observation results, the series model can achieve better control accuracy.

Keywords: induction motor; iron loss; equivalent circuit; state space model; control precision; operating efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/3/503/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/3/503/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:3:p:503-:d:203604

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().