Experimental Evaluation and Predictive Control of an Air-Cored Linear Generator for Direct-Drive Wave Energy Converters

Direct-drive wave energy converters using linear generators (LGs) are attractive due to their high efficiency and reliability. Air-cored LGs, in particular, are receiving increasing attention due to the elimination of attraction forces between the stator and translator and the resulting reduction in...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on industry applications Vol. 48; no. 6; pp. 1817 - 1826
Main Authors: Vermaak, R., Kamper, M. J.
Format: Journal Article
Language:English
Published: New York IEEE 01-11-2012
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Direct-drive wave energy converters using linear generators (LGs) are attractive due to their high efficiency and reliability. Air-cored LGs, in particular, are receiving increasing attention due to the elimination of attraction forces between the stator and translator and the resulting reduction in structural mass. In this paper, details of the construction of a novel air-cored LG are presented. A custom test rig is constructed for testing the LG, particularly with zero overlap between its stator and translator at the stroke ends. Predictive control for maximum power transfer from the generator is first proposed and tested as a sensorless alternative to methods employing linear position feedback and electromotive force (EMF) estimation with sense coils. The control strategy is verified through simulation and measurements. It is also shown that allowing for zero stator-translator overlap at the stroke ends can improve the power-to-weight ratio compared to complete stator-translator overlap during the entire stroke.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2012.2221671