Improved Linear Active Disturbance Rejection Controller Control Considering Bus Voltage Filtering in Permanent Magnet Synchronous Generator

With sight on maximizing the amount of energy that can be extracted, by a wind turbine, from the wind, this article solves the maximum power point tracking problem for a permanent magnet synchronous generator-based horizontal wind turbine connected to the electrical grid. A three-phase back-to-back converter, which allows a decoupling between the electrical grid and the generator, is employed as an interphase between the wind turbine and the utility grid. Based on the mathematical model in the synchronous reference frame and taking advantage of the differential flatness property the system exhibits, controllers based on the active disturbance rejection methodology are designed, in this work, to track the curve of maximum extracted power from the wind and manage the generated electricity into the grid. At the same time, the phase angle of the electricity generated is synchronized with the phase angle of the electrical grid. Numerical simulations are performed to support the controllers presented in this work.

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Composite control for disturbed direct-driven surface-mounted permanent magnet synchronous generator with model prediction strategy

Measurement and Control ◽

10.1177/00202940211010829 ◽

2021 ◽

pp. 002029402110108

Author(s):

Hong-Jun Shi ◽

Xu-Chen Nie

Keyword(s):

Permanent Magnet ◽

Real Time ◽

Disturbance Rejection ◽

Sudden Change ◽

External Environment ◽

Synchronous Generator ◽

Current Control ◽

Current Loop ◽

Permanent Magnet Synchronous Generator ◽

Active Disturbance Rejection

In order to obtain the best power in the wind energy conversion system (WECS) of the direct-driven surface-mounted permanent magnet synchronous generator (SPMSG), active disturbance rejection control (ADRC) is introduced to track the motor speed in real time. The control algorithm provides a new design concept and an inherent robust controller component that requires very little system information. Aiming at the problem of system parameter mutation caused by internal factors and external environment changes, an adaptive controller with multi parameter identification is designed, and the disturbance caused by parameter changes is compensated in real time. The model predictive current control (MPC) technology for the sudden change of external environment is designed to accelerate the response speed of the current loop, so as to weaken the estimation of the current disturbance by the active disturbance rejection controller, and make the speed estimation more accurate. Simulation results show that the proposed control strategy is effective and satisfactory.

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DC Bus Voltage Control of Grid-Side Converter in Permanent Magnet Synchronous Generator Based on Improved Second-Order Linear Active Disturbance Rejection Control

Energies ◽

10.3390/en13184592 ◽

2020 ◽

Vol 13 (18) ◽

pp. 4592

Author(s):

Xuesong Zhou ◽

Yongliang Zhou ◽

Youjie Ma ◽

Luyong Yang ◽

Xia Yang ◽

...

Keyword(s):

Control Strategy ◽

Disturbance Rejection ◽

Synchronous Generator ◽

Permanent Magnet Synchronous Generator ◽

Active Disturbance Rejection ◽

Disturbance Rejection Control ◽

Dc Bus ◽

Bus Voltage ◽

Grid Side ◽

Grid Side Converter

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

Electrical Engineering & Electromechanics ◽

10.20998/2074-272x.2021.6.03 ◽

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

IEEE Transactions on Energy Conversion ◽

10.1109/tec.2016.2553127 ◽

2016 ◽

Vol 31 (3) ◽

pp. 1080-1089 ◽

Cited By ~ 3

Author(s):

Yashan Hu ◽

Milijana Odavic ◽

Zi Qiang Zhu

Keyword(s):

Permanent Magnet ◽

Synchronous Generator ◽

Torque Ripple ◽

Permanent Magnet Synchronous Generator ◽

Dc Bus ◽

Bus Voltage ◽

Voltage Pulsation

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Model predictive control of direct-driven surface-mounted permanent magnet synchronous generator based on active disturbance rejection controller

Assembly Automation ◽

10.1108/aa-04-2021-0042 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Hongjun Shi ◽

Lei Xiong ◽

Xuchen Nie ◽

Qixin Zhu

Keyword(s):

Disturbance Rejection ◽

Control Method ◽

Synchronous Generator ◽

Maximum Power ◽

Tracking Performance ◽

Permanent Magnet Synchronous Generator ◽

Content Type ◽

Wind Energy Conversion ◽

Active Disturbance Rejection ◽

Energy Conversion System

Purpose This paper aims to mainly discuss how to suppress the disturbances accurately and effectively in the wind energy conversion system (WECS) of the direct drive surface mount permanent magnet synchronous generator (SPMSG). Design/methodology/approach The disturbances in wind energy conversion system have seriously negative influence on the maximum power tracking performance. Therefore, a model predictive control (MPC) method of model compensation active disturbance rejection control (ADRC) strategy in parallel connection is designed, which optimizes the speed tracking performance compared with the existing control strategy of MPC and ADRC in series connection. Based on the traditional ADRC, a multi parameter model compensation ADRC strategy is added to better estimate the disturbances. At the same time, a torque feedback strategy is added to compensate the disturbances caused by load torque and further optimize the speed loop tracking performance. Findings The simulation results show that the designed control method has advantages than the traditional control method in compensating the disturbances and tracking the maximum power more effectively. Originality/value The simulation results show that the designed control method is superior to the traditional proportional control method, which can better compensate the internal and external disturbances and track the maximum power more effectively.

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