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http://dx.doi.org/10.5370/JEET.2017.12.1.110

A Maximum Power Control of IPMSM with Real-time Parameter Identification  

Jun, Hyunwoo (Dept. of Electrical Engineering, Hanyang University)
Ahn, Hanwoong (Dept. of Electrical Engineering, Hanyang University)
Lee, Hyungwoo (Dept. of Railway Vehicle System Engineering, Korea National University of Transportation)
Go, Sungchul (Mechatronics R&D Center, Samsung Electronics Co.)
Lee, Ju (Dept. of Electrical Engineering, Hanyang University)
Publication Information
Journal of Electrical Engineering and Technology / v.12, no.1, 2017 , pp. 110-116 More about this Journal
Abstract
This paper proposed a new real-time parameter tracking algorithm. Unlike the convenience algorithms, the proposed real-time parameter tracking algorithm can estimate parameters through three-phase voltage and electric current without coordination transformation, and does not need information on magnetic flux. Therefore, it can estimate parameters regardless of the change according to operation point and cross-saturation effect. In addition, as the quasi-real-time parameter tracking technique can estimate parameters through the four fundamental arithmetic operations instead of complicated algorithms such as numerical value analysis technique and observer design, it can be applied to low-performance DSP. In this paper, a new real-time parameter tracking algorithm is derived from three phase equation. The validity and usefulness of the proposed inductance estimation technique is verified by simulation and experimental results.
Keywords
Real-time parameter tracking algorithm; Inductance identification; Maximum power control; IPMSM;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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