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Power Quality Improvement Using ANN Logic Based UPQC

机译:使用基于ANN逻辑的UPQC改善电能质量

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摘要

A Unified Power Quality Controller (UPQC) using a Aritifical Neural Network (ANN) has been proposed. The results obtained through the ANN are good in terms of dynamic response because of the fact that the ANN is based on linguistic variable set theory and does not require a mathematical model of the system. Moreover, the tedious method of tuning the PI controller is not required in case of ANN. Simulations are carried out using MATLAB/Simulink to validate the theoretical findings.
机译:已经提出了使用人工神经网络(ANN)的统一电能质量控制器(UPQC)。通过ANN获得的结果在动态响应方面表现良好,因为ANN基于语言变量集理论并且不需要系统的数学模型。此外,在ANN的情况下,不需要繁琐的PI控制器调整方法。使用MATLAB / Simulink进行仿真以验证理论结果。

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