用神经模糊控制三相不间断电源的研究

T. S. Radwan
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引用次数: 2

摘要

本文介绍了神经模糊控制在临界负载三相不间断电源(UPS)控制中的应用。该控制器在旋转参照系中引入了自适应神经模糊推理系统(ANFIS),具有三个输入变量和一个控制输出变量。该方法解决了UPS系统中非线性负载和参数变化引起的问题。此外,它还具有高动态性能和准确的负载电压调节,具有最小的总谐波失真(THD)和良好的稳态特性。在三相样机上的仿真和实验结果表明了该控制器在整流型负载条件下的有效性和优越性
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On the Use of Neuro-Fuzzy to Control a Three-Phase Uninterruptible Power Supply
This paper introduces the application of neuro-fuzzy to control a three-phase uninterruptible power supply (UPS) for critical loads. The introduced controller incorporates adaptive neuro-fuzzy inference system (ANFIS) in rotating reference frame with three input variables and one control output variable. With this methodology, the problems caused by nonlinear loads and parameter variations of UPS system are solved. Moreover, it achieves high dynamic performance and accurate voltage regulation of the load with minimum total harmonics distortion (THD) and good steady-state characteristics. Simulation and experimental results on a three-phase prototype show effectiveness and advantages of the proposed controller especially under rectifier-type loading condition
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