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Neural Network Based DSTATCOM Controller for Three-phase, Three-wire System

机译:基于神经网络的三相三线系统DSTATCOM控制器

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This paper deals with the design, analysis and simulation of neural network based DSTATCOM controller. Conventional controllers being fixed structure provide optimum performance only over a limited range of operating conditions for which they are designed. Alternate controllers based on fuzzy logic and neural networks are more robust and can be designed to operate well under a wide range of operating conditions. This paper highlights the performance of artificial neural network (ANN) based DSTATCOM controller with respect to PI controllers.
机译:本文涉及基于神经网络的DSTATCOM控制器的设计,分析和仿真。传统的控制器是固定结构的最佳性能,仅在其设计的有限范围的操作条件下提供最佳性能。基于模糊逻辑和神经网络的替代控制器更加坚固,可以设计成在各种操作条件下运行良好。本文突出了基于人工神经网络(ANN)的DSTATCOM控制器对PI控制器的性能。

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