Next Article in Journal
Impact of Drilling Costs on the US Gas Industry: Prospects for Automation
Next Article in Special Issue
Improved Droop Control with Washout Filter
Previous Article in Journal
Analysis, Modeling, and Control of Half-Bridge Current-Source Converter for Energy Management of Supercapacitor Modules in Traction Applications
Previous Article in Special Issue
A Novel Computational Approach for Harmonic Mitigation in PV Systems with Single-Phase Five-Level CHBMI
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessFeature PaperArticle
Energies 2018, 11(9), 2238;

Adaptive Sliding Mode Speed Control for Wind Energy Experimental System

Division of Engineering, Saint Mary’s University, Halifax, NS B3H 3C3, Canada
Received: 19 July 2018 / Revised: 16 August 2018 / Accepted: 23 August 2018 / Published: 26 August 2018
(This article belongs to the Special Issue Power Electronics in Renewable Energy Systems)
Full-Text   |   PDF [4060 KB, uploaded 26 August 2018]   |  


In this paper, an adaptive sliding mode speed control algorithm with an integral-operation sliding surface is proposed for a variable speed wind energy experimental system. In the control design, an estimator is designed to compensate for the uncertainties and the unknown turbine torque. In addition, the bound of the sliding mode is investigated to deal with uncertainties. The stability of the system can be guaranteed in the sense of the Lyapunov stability theorem. The laboratory size DC generator wind energy system is controlled using a buck-boost DC-DC converter interface. The control system is validated by experimentation and results demonstrate the achievement of favorable speed tracking performance and robustness against parametric variations and external disturbances. View Full-Text
Keywords: adaptive control; sliding mode control; speed control; wind energy system adaptive control; sliding mode control; speed control; wind energy system

Figure 1

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).

Share & Cite This Article

MDPI and ACS Style

Merabet, A. Adaptive Sliding Mode Speed Control for Wind Energy Experimental System. Energies 2018, 11, 2238.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top