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Improved sliding mode control law for wind power systems.

Autor: El Fadili, Yattou, Berrada, Youssef, Boumhidi, Ismail

Publikováno v: International Journal of Dynamics & Control; Sep2024, Vol. 12 Issue 9, p3354-3365, 12p

Optimal Controller Design for Wind Turbine using Sliding Sector and Genetic Algorithms

Autor: El Fadili Yattou, Berrada Youssef, Boumhidi Ismail

Publikováno v: E3S Web of Conferences, Vol 469, p 00006 (2023)

This present work presents a major contribution to the field of wind turbine control which is the more challenging context that this paper is focused. This manuscript gives a novel design of a high-performance controller using the sliding sector law

Externí odkaz: https://doaj.org/article/fd55480b0040405c9f100eec5cbe99fc

Fractional-order sliding-mode control of a wind turbine for tracking maximum power point

Autor: Zoubaa Yassamine, Chouiekh Sihame, El Bakri Ayoub, Boumhidi Ismail

Publikováno v: E3S Web of Conferences, Vol 469, p 00056 (2023)

This study examines a nonlinear control technique based on fractional-order sliding mode theory to track the highest power point of a wind energy conversion system. The proposed method achieves chatter-free fractional sliding-mode control by using a

Externí odkaz: https://doaj.org/article/a81fe54bf8e74c97a8e36703b6ee8645

Neural network optimization algorithm based non-singular fast terminal sliding-mode control for an uncertain autonomous ground vehicle subjected to disturbances.

Autor: Hajjami, Lhoussain El, Mellouli, El Mehdi, Žuraulis, Vidas, Berrada, Mohammed, Boumhidi, Ismail

Publikováno v: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.); Jun2024, Vol. 238 Issue 7, p1687-1697, 11p