Neural network sliding mode control with time-varying delay for a variable speed wind turbine

Berrada, Youssef; Boumhidi, Ismail

doi:10.1504/ijpec.2017.087321

Cited by 3 publications

(2 citation statements)

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“…The key aspect in designing a robust controller is the selection of a sliding surface that is an attractive surface. The sliding surface expression is based on the system's relative degree [8]. For the wind turbine, the relative degree is equal to 2.…”

Section: Sliding Sector Design Optimized By Genetic Algorithmsmentioning

confidence: 99%

“…The utility of the classic SMC law is very powerful for VSWT [5] but it has a major drawback known as the chattering phenomenon [6]. The problem of chattering is caused by the use of a high gain in the case of strong disturbances and great uncertainties, this drawback can cause rapid variations of the control signal and damage to the system because of high-frequency oscillations [7,8]. The elimination of chattering is the important reason that leads to this contribution of this paper that deals with the SMC law developed.…”

Section: Introductionmentioning

confidence: 99%

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

El Fadili,

Berrada,

Boumhidi

2023

E3S Web of Conf.

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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 optimized by genetic algorithms. This developed design gives an improvement in the robustness of wind energy systems compared to the traditional law known as sliding mode control (SMC). The proposed design is based on the idea of extending the SMC by transforming the sliding surface into a sliding sector. Genetic algorithms are used to optimize the switching gain in its control structure in real-time. The benefits of this design under fast and random wind speed variations are utility for non-linear systems, achieving maximum power tracking, ensuring robust stability, eliminating the chattering problem, and faster response time. The strengths of this design are proved by simulation results of the main parameters of the two-mass model of wind turbines using Matlab software.

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Section: Sliding Sector Design Optimized By Genetic Algorithmsmentioning

confidence: 99%