scholarly journals A Robust Nonlinear Controller for PMSG Wind Turbines

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 954
Author(s):  
Nicholas Hawkins ◽  
Michael L. McIntyre
Keyword(s):  
Response Time ◽  
Synchronous Generator ◽  
Average Error ◽  
Nonlinear Controller ◽  
Permanent Magnet Synchronous Generator ◽  
Wind Environment ◽  
Control Schemes ◽  
Backstepping Controller ◽  
Simulation Results ◽  
Robust Nonlinear Controller

In this paper, a nonlinear backstepping controller is proposed to manage the performance of a full-variable permanent magnet synchronous generator wind turbine. This nonlinear controller achieves a rotational speed objective for the generator and is validated through Lyapunov-based stability analysis. Additionally, this objective is accomplished without a measurement for wind speed that influences the wind torque. The proposed scheme is compared to a typical linear controller through simulation results. Simulation tests are performed to compare the response time and average error of each controller in both a drastic and realistic dynamic wind environment. These results demonstrate that the proposed controller is far more robust to wind turbulence than traditional control schemes. The simulation results of this study indicate a 1000% increase in response time and 3000% decrease in average controller error.

Optimal Control Research for the Wind Turbine PMSG Chaos Motion

2014 ◽  
Vol 543-547 ◽  
pp. 1291-1295 ◽  
Author(s):  
Lin Zheng Ren ◽  
Teng Fei Lei ◽  
Heng Chen ◽  
Rong Wang
Keyword(s):  
Optimal Control ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Synchronous Generator ◽  
Optimal Controller ◽  
Permanent Magnet Synchronous Generator ◽  
Dynamic Motion ◽  
Control Research ◽  
Simulation Results ◽  
Chaos Motion

In this paper, the dynamic motion of the wind turbine permanent magnet synchronous generator is studied. After the permanent magnet synchronous generator motion is analyzed, the system has a complex chaotic motion in some parameters condition. A controller is designed based on optimal control theory. The optimal controller is used to avoid PMSG chaos and ensure the system is stable. This controller is simple and easy to implement. The simulation results show the whole control system has the good performance. The wind turbine PMSG optimal controller can be used by the other researchers.

Optimization of Wind Turbine Torsional Mitigation Procedures for Different Generator Classes

2017 ◽  
Author(s):  
Warren N. White ◽  
Justin Currence ◽  
Buddhika Aththanayaka ◽  
Fariba Fateh ◽  
Don Gruenbacher
Keyword(s):  
Wind Turbine ◽  
Synchronous Generator ◽  
Vibration Damping ◽  
The Other ◽  
Doubly Fed Induction Generator ◽  
Periodic Excitation ◽  
Permanent Magnet Synchronous Generator ◽  
Control Schemes ◽  
Doubly Fed ◽  
Grid Side

Wind turbine vibrations can result from periodic excitation caused by the wind and by both wind and seas for the case of offshore units. In particular, the turbine drivetrain is subject to torsional vibrations caused by both changes in the wind and grid disturbances. This paper uses a collection of different control schemes to damp the vibrations and seeks the best controller by optimizing each in terms of gain selection. Two 750 kW wind turbine models, one with a DFIG (doubly fed induction generator) and the other with a PMSG (permanent magnet synchronous generator) are used in the investigation. Numerical simulations of the wind turbines using the NREL developed software FAST 8 are the means of conducting the tests. In varying the gains, the work discovers that the best controller for a DFIG differs greatly from the best controller for a PMSG. In addition, the work found that the vibration damping in a DFIG turbine is different when the source of the vibration-causing disturbance is considered. The paper reports both the optimized gains and a set of questions raised by the behavior of the DFIG turbine where the response of the shaft torsion differs according to the source of the disturbance, i.e. either grid side or wind side.

Converter Control Strategy Analysis on EESG

2014 ◽  
Vol 945-949 ◽  
pp. 2563-2567
Author(s):  
Zi Xu Lin ◽  
Hong Hua Xu
Keyword(s):  
Rare Earth ◽  
Control Strategy ◽  
Synchronous Generator ◽  
Control Technology ◽  
System Efficiency ◽  
Electrical Excitation ◽  
Permanent Magnet Synchronous Generator ◽  
Strategy Analysis ◽  
High System ◽  
Simulation Results

With respect to the permanent magnet synchronous generator, electrical excitation synchronous generator (EESG) can control excitation and its price does not fluctuate with the rare earth materials market, so it has been applied widely. This paper introduces the converter which controls power on excitation instead of the traditional vector control technology. This system has a simple hardware structure, high system efficiency. The simulation results demonstrate the correctness of the proposed converter control strategy.

Design of a robust nonlinear controller for a synchronous generator connected to an infinite bus

Complexity ◽  
2015 ◽  
Vol 21 (5) ◽  
pp. 203-213 ◽  
Author(s):  
Bijan Hashtarkhani ◽  
Mohammad Pourmahmood Aghababa ◽  
Mohammad Javad Khosrowjerdi
Keyword(s):  
Synchronous Generator ◽  
Nonlinear Controller ◽  
Robust Nonlinear Controller

scholarly journals Research on Frequency Adaptability of Permanent Magnet Synchronous Generator

2021 ◽  
Vol 245 ◽  
pp. 01016
Author(s):  
He Tingyi ◽  
Li Shengnan ◽  
Wu Shuijun ◽  
He Peng ◽  
Mu Runzhi
Keyword(s):  
Permanent Magnet ◽  
Synchronous Generator ◽  
Frequency Change ◽  
Permanent Magnet Synchronous Generator ◽  
Matlab Simulink ◽  
Influence Mechanism ◽  
Simulation Results ◽  
Frequency Changes

In this paper, a study on frequency adaptability of permanent magnet synchronous generator (PMSG) is carried out, the influence mechanism of the frequency changes on PMSG is revealed. It is proposed that setting the converter protection setting value and PLL parameters reasonably can ensure that the grid frequency change has little effect on the PMSG. The simulation of frequency adaptability of PMSG is realized on Matlab/Simulink, and the simulation results verify the correctness of the conclusion.

scholarly journals New application of artificial neural network-based direct power control for permanent magnet synchronous generator

2021 ◽  
pp. 18-24
Author(s):  
K. Akkouchi ◽  
L. Rahmani ◽  
R. Lebied
Keyword(s):  
Comparative Study ◽  
Power Control ◽  
Permanent Magnet ◽  
Synchronous Generator ◽  
Direct Power ◽  
Permanent Magnet Synchronous Generator ◽  
Artificial Neuron ◽  
Neuron Networks ◽  
Simulation Results ◽  
Bus Voltage

Purpose. This article proposes a new strategy for Direct Power Control (DPC) based on the use of Artificial Neural Networks (ANN-DPC). The proposed ANN-DPC scheme is based on the replacement of PI and hysteresis regulators by neural regulators. Simulation results for a 1 kW system are provided to demonstrate the efficiency and robustness of the proposed control strategy during variations in active and reactive power and in DC bus voltage. Methodology. Our strategy is based on direct control of instant active and reactive powers. The voltage regulator and hysteresis are replaced by more efficient and robust artificial neuron networks. The proposed control technique strategy is validated using MATLAB / Simulink software to analysis the working performances. Results. The results obtained clearly show that neuronal regulators have good dynamic performances compared to conventional regulators (minimum response time, without overshoots). Originality. Regulation of continuous bus voltage and sinusoidal currents on the network side by using artificial neuron networks. Practical value. The work concerns the comparative study and the application of DPC based on ANN techniques to achieve a good performance control system of the permanent magnet synchronous generator. This article presents a comparative study between the conventional DPC control and the ANN-DPC control. The first strategy based on the use of a PI controller for the control of the continuous bus voltage and hysteresis regulators for the instantaneous powers control. In the second technique, the PI and hysteresis regulators are replaced by more efficient neuronal controllers more robust for the system parameters variation. The study is validated by the simulation results based on MATLAB / Simulink software.

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