NDLI: Rotor position estimation method of wound-rotor synchronous starter/generator

Content Provider	IET Digital Library
Author	Zhu, Yujie Liu, Weiguo Peng, Jichang Meng, Tao Jiao, Ningfei
Abstract	This study proposes a novel rotor position estimation method for wound-rotor synchronous starter/generator (WSSG). At the starting stage, WSSG needs a resolver to obtain the main machine's (MM's) rotor position. However, the use of resolver increases starting system's complexity, volume, weight and cost. In order to solve this problem, a novel kind of MM's rotor position estimation method is proposed, which considers the structure of WSSG as a resolver. The novel method injects a rotating voltage into MM's stator, detects main exciter's stator current and subsequently processes the current signals to estimate MM's rotor position. Experimental results show that the novel method can estimate rotor position accurately, which are in good agreement with the theoretical analyses and simulation results. Compared to the saliency tracking rotor position estimation method, the novel method does not rely on WSSG's parameters (including MM's saliency), and the signal processing procedures are more simple.
Starting Page	833
Ending Page	842
Page Count	10
ISSN	17518660
Volume Number	13
e-ISSN	17518679
Issue Number	Issue 7, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-epa/13/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-epa.2018.5222
Journal	IET Electric Power Applications
Publisher Date	2018-07-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Estimation Theory Exciter Stator Current Detection Main Machine Rotor Position MM Rotor Position Estimation Method Rotating Voltage Rotors Saliency Tracking Rotor Position Estimation Method Signal Detection Signal Processing Starting Statistics Stators Synchronous Generator Synchronous Machine System Complexity Wound-rotor Synchronous Starter-generator WSSG
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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