Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24007
Title: μ-based robust controller design of LCLC resonant inverter for high-frequency power distribution system
Authors: Liu, J
Cheng, KWE 
Issue Date: 2013
Publisher: Institution of Engineering and Technology
Source: IET power electronics, 2013, v. 6, no. 4, p. 652-662 How to cite?
Journal: IET power electronics 
Abstract: High-frequency AC (HFAC) power distribution system (PDS) has recently received more and more attentions and has a broad application from electric vehicle to Micro-grid. The resonant inverter is commonly used to provide the fixed frequency output for point of load (POL). However, the control and implementation of high-frequency resonant inverter is complicated to provide good steady and dynamic performance, because of the worse operating circumstance from parameter uncertainties, inaccuracy model, as well as load and line perturbations. Although H1 robust controller has already been widely examined, the feedback voltage controller designed by μ-synthesis accurately provides more effective analysis and design framework to achieve robust stability and robust tracking performance. In this study, the perturbations and control target are analysed to construct the unstructured and structured uncertainties for resonant inverter. A new μ-based controller is designed by μ-synthesis to testify its tracking performance under the given perturbations, and the robust performance of proposed controller is theoretically evaluated by μ-analysis. The prototype of simulation and experiment are implemented with a rated output power of 120 W and operation frequency of 25 kHz. The results prove its superiority over traditional PI and H1 controllers for HFAC power source constructed by LCLC resonant inverter.
URI: http://hdl.handle.net/10397/24007
ISSN: 1755-4535
EISSN: 1755-4543
DOI: 10.1049/iet-pel.2012.0637
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

11
Last Week
0
Last month
0
Citations as of Jan 20, 2018

WEB OF SCIENCETM
Citations

10
Last Week
0
Last month
0
Citations as of Jan 16, 2018

Page view(s)

42
Last Week
2
Last month
Citations as of Jan 14, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.