Disturbance observer‐based integral fuzzy sliding‐mode control and its application to wind turbine system-Reference-Cited by-同舟云学术

Disturbance observer‐based integral fuzzy sliding‐mode control and its application to wind turbine system

Published:2019-07-05 Issue:12 Volume:13 Page:1891-1900
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Hwang Sounghwan¹,Park Jin Bae¹,Joo Young Hoon²

Affiliation:

1. Department of Electrical and Electronic EngineeringYonsei UniversitySeoul120‐749Republic of Korea

2. School of IT Information and Control Engineering, Kunsan National University558 Daehak‐roGunsan‐siJeollabuk‐doRepublic of Korea

Funder

Korea Electric Power Corporation

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.5779

Reference45 articles.

1. An Intelligent Maximum Power Extraction Algorithm for Inverter-Based Variable Speed Wind Turbine Systems

2. Intelligent approach to maximum power point tracking control strategy for variable-speed wind turbine generation system

3. Exploiting maximum energy from variable speed wind power generation systems by using an adaptive Takagi–Sugeno–Kang fuzzy model

4. Design of a maximum power tracking system for wind-energy-conversion applications

5. Pitch-controlled variable-speed wind turbine generation

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