Implementation of neural network-based maximum power tracking control for wind turbine generators

Karakaya, Abdulhakim; Karakaş, Ercüment

doi:10.3906/elk-1201-70

Cited by 8 publications

(6 citation statements)

References 19 publications

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“…The neural predictive control structure for wind turbine maximum power point tracking uses a neural network model of the wind turbine, seen as a nonlinear plant, to predict future wind turbine maximum power point tracking [9,10,[21][22][23][24]. The neural controller calculates the control input di that optimizes wind turbine performance over a specified future time horizon.…”

Section: Neural Predictive Controlmentioning

confidence: 99%

“…The control systems, with artificial neural networks and neuro-fuzzy controllers, are modeled, simulated, and analyzed by using Matlab/Simulink software. In the paper [10], a laboratory prototype of a wind system with a permanent magnet synchronous generator, with an artificial neural network for maximum power point tracking, is modeled in a Matlab/Simulink environment. Maximum power point tracking is also used in photovoltaic systems.…”

Section: Introductionmentioning

confidence: 99%

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A Comparative Analysis of Some Methods for Wind Turbine Maximum Power Point Tracking

Voloşencu

2021

Mathematics

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The study in the paper is placed in the broad context of research for increasing the efficiency of capturing and converting wind energy. The purpose of the study is to analyze some mathematical methods for maximum power point tracking in wind turbines. The mathematical methods studied are on–off control, fuzzy control, and neural predictive control. The rules developed for maximum power point tracking are presented. The related control structures and their design methods are presented. The behaviors of the control systems and their energy efficiency are analyzed. Maximum power point tracking ensures a significant increase in the energy generated compared to the unfavorable case of operation at a small and constant load torque. The differences in energy efficiency between the methods of maximum power point tracking studied are small.

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Section: Neural Predictive Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Some Methods for Wind Turbine Maximum Power Point Tracking

Voloşencu

2021

Mathematics

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“…In various applications, control techniques have been used in rotating machines aiming at reducing their lateral vibration amplitudes. Different researchers have shown that such reduction can improve the efficiency of the rotor, Karakaya and Karakas (2014). Nevertheless, it should be noticed that several types of control approaches are available, so that the most effective approach should be chosen for a particular application.…”

Section: Introductionmentioning

confidence: 99%

Active crack control approach applied to a horizontal rotating machine

Leão

Pereira

Carvalho

et al. 2022

Journal of Vibration and Control

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The present contribution proposes an active vibration control technique devoted to shafts with cracks aiming to minimize their propagation. The existence of a crack in rotating shafts can be characterized by 2 X and 3 X super-harmonic amplitudes in the vibration responses of the rotor, which can increase as the crack propagates along the shaft’s cross-section. A proportional-integral-derivative control technique is applied to suppress the 2 X and 3 X vibration amplitudes of a cracked shaft, which is performed by using a bandpass filter applied to the vibration responses of the rotor. Numerical and experimental results are obtained through both a representative finite element model of a horizontal rotor and its corresponding test-rig. In this case, electromagnetic actuators are used to apply the control effort to the rotor. The Mayes model is applied for simulating the breathing behavior of the transverse crack. The linear fracture mechanics theory is considered to correlate the crack depth with the corresponding additional rotor flexibility. Both numerical and experimental results demonstrate the possibility of reducing the effects of a transverse crack through active control on the dynamic behavior of a rotating machine. Moreover, it is shown that the proposed control law is capable of controlling the crack effects with the rotor operating in different rotation speeds.

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“…Recently, ANNs have been used to solve very complex problems in many application fields [9][10][11][12]. The specific solution for various nonlinear and complex systems can be determined using the function and results of ANNs [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Sizing Control and Hardware Implementation of a Hybrid Wind-Solar Power System, Based on an ANN Approach, for Pumping Water

Zarrad

Hajjaji

Aymen

et al. 2019

International Journal of Photoenergy

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In our day, solar energy and wind energy are becoming more and more used as renewable sources by various countries for different uses such as in an isolated home. These energies admit a unique limitation related to the characteristic of energy instability. For this, the objective of this manuscript is to command and synchronize the power flow of a hybrid system using two sources of energy (solar and wind). The first contribution of our work is the utilization of an artificial neural network controller to command, at fixed atmospheric conditions, the maximum power point. The second contribution is the optimization of the system respecting real-time constraints to increase a generating system performance. As a matter of fact, the proposed system and the controller are modeled using MATLAB/Simulink and a Xilinx System Generator is utilized for hardware implementation. The simulation results, compared with other works in the literature, present high performance, efficiency, and precision. The suggested system and its control strategy give the opportunity of optimizing the hybrid power system performance, which is utilized in rural pumping or other smart house applications.

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Implementation of neural network-based maximum power tracking control for wind turbine generators

Cited by 8 publications

References 19 publications

A Comparative Analysis of Some Methods for Wind Turbine Maximum Power Point Tracking

A Comparative Analysis of Some Methods for Wind Turbine Maximum Power Point Tracking

Active crack control approach applied to a horizontal rotating machine

Sizing Control and Hardware Implementation of a Hybrid Wind-Solar Power System, Based on an ANN Approach, for Pumping Water

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