Utilization of artificial neural network for the controller design of the machine side converter in the PMSG wind turbine

L. Giang, Nguyen Thi Hong Yen, Ngo Duy Tan, Nguyen Duc Viet, Tran Thi Ngoat
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引用次数: 1

Abstract

This paper discusses the improvement of the Permanent magnetic synchronous generator (PMSG) wind turbine using an artificial neural network for the controller of the machine side converter. An artificial neural network (ANN) is trained to replace traditional PI controllers, to improve stability, accuracy and control performance. Simulation is performed in MATLAB after training the neural network and it is shown that results are good. The paper also indicates that the ANN controller can be less complicated and less costly as compared to some other proposed schemes.
将人工神经网络应用于PMSG风力发电机组机侧变流器的控制器设计
本文讨论了用人工神经网络作为机侧变换器控制器对永磁同步发电机风力发电机组进行改进的方法。训练人工神经网络(ANN)来取代传统的PI控制器,以提高稳定性、精度和控制性能。对神经网络进行训练后,在MATLAB中进行了仿真,取得了良好的效果。本文还表明,与其他一些已提出的方案相比,人工神经网络控制器可以更简单,成本更低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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