Next Article in Journal
A Review on the Role of Color and Light in Affective Computing
Previous Article in Journal
N-Vinylcarbazole: As an Additive for Thermal Polymerization at Room Temperature with in situ Formation of Ag(0) Nanoparticules
Article Menu

Export Article

Open AccessArticle
Appl. Sci. 2015, 5(3), 259-274; doi:10.3390/app5030259

Application of Extension Sliding Mode Strategy to Maximum Power Point Tracking in Human Power Generation Systems

Department of Electrical Engineering, National Chin-Yi University of Technology, 35, 215 Lane, Section 1, Chung Shan Road, Taiping, Taichung City 41170, Taiwan
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Chien-Hung Liu
Received: 16 June 2015 / Revised: 22 July 2015 / Accepted: 30 July 2015 / Published: 5 August 2015
View Full-Text   |   Download PDF [1843 KB, uploaded 5 August 2015]   |  

Abstract

Sliding mode strategy (SMS) for maximum power point tracking (MPPT) is used in this study of a human power generation system. This approach ensures maximum power at different rotation speeds to increase efficiency and corrects for the lack of robustness in traditional methods. The intelligent extension theory is used to reduce input saturation and high frequency switching in sliding mode strategy, as well as to increase the efficiency and response speed. The experimental results show that the efficiency of the extension SMS (ESMS) is 5% higher than in traditional SMS, and the response is 0.5 s faster. View Full-Text
Keywords: human power generation system; sliding mode strategy; maximum power point tracking; extension theory; brushless DC motor human power generation system; sliding mode strategy; maximum power point tracking; extension theory; brushless DC motor
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wang, M.-H.; Yau, H.-T.; Jiang, W.-J. Application of Extension Sliding Mode Strategy to Maximum Power Point Tracking in Human Power Generation Systems. Appl. Sci. 2015, 5, 259-274.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top