分路电容式初等附加串联正输出超升力变换器的人工神经网络控制

V. Venkatesh, N. Swathi, C. Kamalakannan
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引用次数: 0

摘要

人工神经网络在当今直流到直流的功率转换中起着至关重要的作用。研究了应用人工神经网络算法后所得到的直流变换器的改进和性能。超升力变换器是一种利用超升力电压技术的直流变换器。该技术以几何级数逐步提高变换器的输出电压。分路电容式初等附加串联正输出超升力变换器是一种分路电容输入侧的超升力DC - DC变换器,以获得高电压传递增益和高效率。采用人工神经网络控制器对分体式电容型初等附加串联正输出超升力变换器进行线路和负荷变化的调节。利用MATLAB/SIMULINK软件对所提出的DC - DC变换器模型的结果进行综合。
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Artificial neural network controller for split capacitor type elementary additional series positive output super lift converter
Artificial neural network plays a vital role in today's DC to DC power conversion. It examines the improvement and performance of the subjected DC to DC converter attained after the implication of artificial neural network algorithm. Super lift converter is a type of DC to DC converter which makes use of super lift voltage technique. This technique builds ups the output voltage of the converter stage by stage in geometric progression. Split capacitor type elementary additional series positive output super lift converter is a subtype of super lift DC to DC converter which splits up the capacitor at input side to obtain high voltage transfer gain and high efficiency. Thus the implementation of artificial neural network controller for split capacitor type elementary additional series positive output super lift converter regulates the line and load variation. MATLAB/SIMULINK software is used for synthesizing the results of proposed DC to DC converter model.
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