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Photovoltaic based Brushless DC Motor Using Cuckoo Algorithm as a Maximum Power Point Tracking

机译:使用杜鹃算法作为最大功率点跟踪的基于光伏的无刷直流电动机

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In this paper design and analysis of Solar energy based brushless dc motor circuit framework is discussed. The power and voltage curve of the system exhibit contains a large number of nearby maximun power points (MPPTs) and one maximum peak. The article introduces an audit for a Maximum Power Point Tracking (MPPT) based PV source focused on maximising the power output using cuckoo search optimisation technique. Cuckoo search gives a few points of interest, for example, the way toward tuning parameters is not many with high productivity next to quick union. Cuckoo search utilizes an arbitrary stroll as per demand trip in looking through procedure. MPPT is designed to utilize cuckoo search in contrast with other existing techniques which needs preparing for optimisation and the existing P&O. Zeta converter is directly used with driving pulse control of a PWM based PIC controller. The outcomes should predict that Cuckoo Search can follow MPPT under varying external working conditions with lower power misfortunes as compared to other techniques.
机译:本文讨论了基于太阳能的无刷直流电动机电路框架的设计与分析。系统展示的功率和电压曲线包含大量附近的最大功率点(MPPT)和一个最大峰值。本文介绍了对基于最大功率点跟踪(MPPT)的PV源的审核,该审核侧重于使用杜鹃搜索优化技术最大化功率输出。布谷鸟搜索提供了一些兴趣点,例如,在快速合并之后,以高生产率进行参数调整的方法并不多。布谷鸟搜索在浏览过程中根据需求行程使用任意漫步。 MPPT旨在利用杜鹃搜索来与需要准备优化和其他P&O的其他现有技术形成对比。 Zeta转换器直接用于基于PWM的PIC控制器的驱动脉冲控制。结果应表明,与其他技术相比,布谷鸟搜索可以在变化的外部工作条件下遵循MPPT,且功耗较低。

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