A fuzzy tracking control design strategy for wind energy conversion system

Ounnas, Djamel; Ramdani, Messaoud; Chenikher, Salah; Bouktir, Tarek

doi:10.1109/icrera.2015.7418517

Cited by 13 publications

(6 citation statements)

References 16 publications

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“…The control system for wind turbines is generally operates according to the technique of MPPT (Maximum Power Point Tracking). Then, the equation 5 represents the turbine power and the mechanical torque [19], [20].…”

Section: A the Model Of Wind Turbinementioning

confidence: 99%

Design of Optimal Control of DFIG-based Wind Turbine System through Linear Quadratic Regulator

Zgarni¹,

ElAmraoui²

2021

IJACSA

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Section: A the Model Of Wind Turbinementioning

confidence: 99%

Design of Optimal Control of DFIG-based Wind Turbine System through Linear Quadratic Regulator

Zgarni¹,

ElAmraoui²

2021

IJACSA

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“…Wind energy (WE) is considered as the first sources exploited by humans after the energy of wood [1], [2]. It has been used to generate electrical energy for several decades [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Generator and grid side converter control for wind energy conversion system

Tounsi

Abid

2021

IJPEDS

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<p>This paper focuses on the modeling and control of a wind energy conversion chain using a permanent magnet synchronous machine. This system behaves a turbine, a generator, DC/DC and DC/AC power converters. These are connected on both sides to the DC bus, where the inverter is followed by a filter which is connected to the grid. In this paper, we have been used two types of controllers. For the stator side converter, we consider the Takagi-Sugeno approach where the parameters of controller have been computed by the theory of linear matrix inequalities. The stability synthesis has been checked using the Lyapunov theory. According to the grid side converter, the proportional integral controller is exploited to keep a constant voltage on the DC bus and control both types of powers. The simulation results demonstrate the robustness of the approach used.</p>

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“…For instance, the problem of tracking control has been analysed based on a control methodology combining T-S fuzzy models and a concept known as virtual desired variables (VDVs) to simplify the design of the reference model and control law for many nonlinear systems. This control methodology has been used in many applications, such as the DC-DC buck converter [14], photovoltaic conversion system [17], permanent magnet synchronous motors [18] and wind energy conversion system [19]. However, this technique cannot be applied for the control of DC-DC boost converter, because it's nonlinear model does not satisfy a specific generalized kinematics constraint.…”

Section: Introductionmentioning

confidence: 99%