基于自适应神经模糊控制器的直流-直流SEPIC变换器单相功率因数校正电流模式控制

S. Durgadevi, M. Umamaheswari
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引用次数: 4

摘要

本文提出了一种基于自适应神经模糊推理系统(ANFIS)的直流-直流单端初级电感变换器(SEPIC)单相功率因数校正(PFC)的新型电流模式控制技术。该系统采用由外部电压PI控制器和内部电流控制器组成的串级控制策略。外部PI控制器系数通过适当的调谐确定,内部电流控制由AnFIS实现。利用Matlab/Simulink对系统的性能进行了仿真研究。为了保证所提控制器的鲁棒性,对总谐波失真百分比(%THD)、功率因数(PF)、稳压百分比、效率百分比等性能参数进行了分析。仿真结果表明,该方法对阶跃负载、设定点和线路变化的输出电压和源电流进行了有效的跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive neuro fuzzy logic controller based current mode control for single phase power factor correction using DC-DC SEPIC converter
This paper presents a novel current mode control technique using an Adaptive Neuro Fuzzy Inference system (ANFIS) for single phase power factor correction (PFC) with DC- DC Single Ended Primary Inductance converter (SEPIC). The proposed system uses cascade control strategy which comprises of outer voltage PI controller and an inner current controller. The outer PI controller coefficients are determined by appropriate tuning and inner current control is implemented with AnFIS. The performance of the proposed system is analysed using Matlab/Simulink based simulation studies. In order to ensure the robustness of the proposed controller the performance parameters such as Percentage Total Harmonic Distortion(%THD), Power factor (PF),%Voltage regulation, %Efficiency are analyzed. From the simulation results, it is inferred that the proposed method provides efficient tracking of output voltage and source current for step load, set point and line variations.
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