DC Bus Voltage Pulsation Suppression of the Permanent Magnet Synchronous Generator With Asymmetries Accounting for Torque Ripple

2016 ◽  
Vol 31 (3) ◽  
pp. 1080-1089 ◽  
Author(s):  
Yashan Hu ◽  
Milijana Odavic ◽  
Zi Qiang Zhu
Author(s):  
K. Akkouchi ◽  
L. Rahmani ◽  
R. Lebied

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.


Author(s):  
Youness El Mourabit ◽  
Aziz Derouich ◽  
Abdelaziz El Ghzizal ◽  
Najib El Ouanjli ◽  
Othmane Zamzoum

<span lang="EN-US">In this paper, we are interested in improving the production efficiency for electric energy extracted from a wind turbine, based on a permanent magnet synchronous generator (PMSG) that we want to improve the performance by means of direct torque control with space vector modulation (DTC-SVM). The choice of this control comes from the deficiencies inherent to the conventional DTC, which includes variable switching frequency, torque ripple and implementation complexity. First we focuse on the wind energy conversion system (WECS) modeling using the PMSG machine, as well as the detailed study for the control DTC-SVM operating principle. Then, system performance is tested and compared by simulation in the MATLAB/Simulink in terms of follow instructions, robustness to the variations of the external system elements, and effectiveness of the expected method.</span>


Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4592
Author(s):  
Xuesong Zhou ◽  
Yongliang Zhou ◽  
Youjie Ma ◽  
Luyong Yang ◽  
Xia Yang ◽  
...  

In the permanent magnet synchronous generator (PMSG), the DC bus voltage fluctuates up and down under the influence of the load and power grid, which greatly affects the safe and reliable work of PMSG. In order to suppress the wide range fluctuation of DC bus voltage under disturbance and enhance its anti-disturbance performance, an optimized DC bus voltage control strategy is proposed by using the improved linear active disturbance rejection control (LADRC) in the voltage outer loop. By considering factors, such as load disturbance and grid voltage mutation as the total disturbance of the system, the improved reduced-order linear expansion state observer (RLSEO) is used to estimate and compensate the total disturbance, which greatly improves the stability of DC bus voltage. Firstly, the mathematical model of grid-side converter is established. On this basis, the LADRC control based on RLESO is designed, which reduces the phase lag of the linear extended state observer (LESO) and enhances the disturbance observation accuracy of the system. Then, a lead lag correction link is added to the total disturbance channel of RLESO to reduce the noise amplification effect of RLESO. Finally, the frequency domain characteristic analysis and stability proof of the improved LADRC control strategy are carried out. The simulation results show that the control strategy proposed in the article has a better control effect on the DC bus voltage.


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