Robust Control of a Wind Conversion System Based on a Doubly Fed Induction Generator: A Comparison Between Adaptive Backstepping and Integral Sliding Mode Controllers

Yessef, Mourad; Bossoufi, Badre; Taoussi, Mohammed; Lagrioui, Ahmed; Chojaa, Hamid; Btissam, Majout; Alami, Houda El

doi:10.1007/978-3-031-01942-5_72

Cited by 4 publications

(5 citation statements)

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“…The derivative of the Lyapunov function can be written as (Yessef et al, 2022b(Yessef et al, , 2022d:…”

Section: Nonlinear Backstepping Controller (Bsc)mentioning

confidence: 99%

“…Substituting equation ( 11) in ( 24), the obtained equation is (Yessef et al, 2022a(Yessef et al, , 2022b:…”

Section: Nonlinear Backstepping Controller (Bsc)mentioning

confidence: 99%

“…Using equations ( 27) in ( 26), the sliding surface derivative can be reformulated as (Yessef et al, 2022b):…”

Section: Nonlinear Backstepping Controller (Bsc)mentioning

confidence: 99%

“…Each MPPT technique can be characterized according to the following criteria: speed of convergence, required sensors, complexity, cost, simplicity of implementation, and other criteria. Therefore, in several research papers (El Mahfoud et al, 2021; Yessef et al, 2022b), researchers have sufficiently discussed various MPPT algorithms. Generally, there are two types of MPPT methods.…”

Section: Introductionmentioning

confidence: 99%

“…To design the command C em * , the surface relative degree is set to 1. On the other hand, the sliding surface is determined in the following manner (Yessef et al, 2022b):…”

Section: Introductionmentioning

confidence: 99%

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Overview of control strategies for wind turbines: ANNC, FLC, SMC, BSC, and PI controllers

Yessef¹,

Bossoufi²,

Taoussi³

et al. 2022

Wind Engineering

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The design of robust and precise control of obtaining maximum power yield is an important area of research in wind engineering. In the context of maximizing the amount of power extraction in wind energy conversion systems (WECS), this research work proposes and evaluates five MPPT algorithms. These types are respectively a proportional integral controller (PI), a non-linear control based on sliding modes (SMC), a backstepping approach (BSC), a control using artificial intelligence based on neural network (ANNC), and a fuzzy logic control (FLC). Two different wind profiles, a step wind profile and a real wind profile, were considered for the comparative study. The response time, dynamic error percentage, and static error percentage were the quantitative parameters compared, and the qualitative parameters included set-point tracking and precision. This test demonstrated the superiority of the ANNC controller with an error static that not exceed 0.39% and a response time ~0.0024 seconds.

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“…The derivative of the Lyapunov function can be written as (Yessef et al, 2022b(Yessef et al, , 2022d:…”

Section: Nonlinear Backstepping Controller (Bsc)mentioning

confidence: 99%

“…Substituting equation ( 11) in ( 24), the obtained equation is (Yessef et al, 2022a(Yessef et al, , 2022b:…”

Section: Nonlinear Backstepping Controller (Bsc)mentioning

confidence: 99%

“…Using equations ( 27) in ( 26), the sliding surface derivative can be reformulated as (Yessef et al, 2022b):…”

Section: Nonlinear Backstepping Controller (Bsc)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…To design the command C em * , the surface relative degree is set to 1. On the other hand, the sliding surface is determined in the following manner (Yessef et al, 2022b):…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations