eCite Digital Repository

Modeling, parameter measurement and sensorless speed estimation of IPM synchronous generator for direct drive variable speed wind turbine application

Citation

Chowdhury, MM and Haque, ME and Das, D and Gargoom, A and Negnevitsky, M, Modeling, parameter measurement and sensorless speed estimation of IPM synchronous generator for direct drive variable speed wind turbine application, International Transactions on Electrical Energy Systems, 25, (9) pp. 1814-1830. ISSN 2050-7038 (2015) [Refereed Article]

Copyright Statement

Copyright 2014 John Wiley & Sons, Ltd.

DOI: doi:10.1002/etep.1933

Abstract

This paper presents simple methods of determining parameters of interior permanent magnet (IPM) synchronous generator such as magnet flux (λM), d-axis inductance (Ld) and q-axis inductance (Lq) of IPM synchronous generator, which are used to control the wind turbine generator. These methods are simple and do not require any complex theory, signal injection or special equipment. Moreover, a sensorless speed estimator is proposed to estimate the speed of the generator without using speed sensor. The measured parameters are used in this speed estimator. The elimination of speed sensor will enhance the system robustness and reduce the design complexity and system cost for a small-scale wind turbine considered in this paper. The effectiveness of parameter measurement methods and sensorless speed estimator is demonstrated by experimental results. Experimental results show that the proposed speed estimator that uses the measured parameters can estimate the generator speed with a small error.

Item Details

Item Type:Refereed Article
Keywords:wind turbine, IPM synchronous generator, parameter measurement, sensorless speed estimation
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Objective Division:Energy
Objective Group:Renewable Energy
Objective Field:Wind Energy
Author:Chowdhury, MM (Mr Mujaddid Chowdhury)
Author:Haque, ME (Dr Md Enamul Haque)
Author:Das, D (Mr Debasish Das)
Author:Gargoom, A (Dr Ameen Gargoom)
Author:Negnevitsky, M (Professor Michael Negnevitsky)
ID Code:95403
Year Published:2015
Web of Science® Times Cited:2
Deposited By:Engineering
Deposited On:2014-10-01
Last Modified:2017-11-06
Downloads:0

Repository Staff Only: item control page