A novel combination of Sliding Mode, Fractional Calculus, and Genetic Algorithm to improve the performance of a controller in a wind power application
Author:
Affiliation:
1. Sidi Mohamed Ben Abdellah University,Computer Science, Signal, Automation, and Cognitivism Laboratory (LISAC),Department of Physics Faculty of Sciences Dhar El Mahraz,Fez,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10616390/10616394/10616435.pdf?arnumber=10616435
Reference10 articles.
1. Novel control strategy for the global model of wind turbine;Yattou;in International Journal of Electrical and Computer Engineering (IJECE)
2. New structure of sliding mode control for variable speed wind turbine
3. Optimal Controller Design for Wind Turbine using Sliding Sector and Genetic Algorithms
4. Improved sliding mode control law for wind power systems
5. A robust controller for a variable-speed wind turbine using a single mass model
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