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首页> 外文期刊>Progress in Artificial Intelligence >CRM PFC Converter with New Valley Detection Method for Improving Power System Quality
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CRM PFC Converter with New Valley Detection Method for Improving Power System Quality

机译:CRM PFC转换器具有新的谷检测方法,可提高电力系统质量

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摘要

High efficiency and the power factor of power converters, are very important factors which can improve power system quality. In particular, research on improving low efficiency and the power factor at light-load conditions is essential. A boost power factor correction (PFC) is most commonly used in home appliances, with several operations being at light-loads; the critical conduction mode (CRM) control, fixed ON-time control, and valley detection technique are mainly applied to PFC control. However, these control schemes have the following problems: (1) low efficiency, due to sudden increase in switching frequency at light-loads; and (2) low power factor, due to switching ON-time limitation. This paper presents a new valley detection method that can actively extend the fixed ON-time to overcome these problems. Furthermore, a new valley point detection circuit and an ON-time extension signal generation circuit are proposed and described in detail. The superiority of the proposed method is demonstrated via comparison with two existing CRM PFC control methods, namely fixed ON-time (conventional1) and existing valley detection (conventional2) methods. Experimental results at 20% load demonstrate that the proposed method shows an efficiency improvement of 2.1%, compared with the fixed ON-time strategy; and a power factor improvement of 34.9%, compared with the existing valley detection strategy.
机译:高效率和功率转换器的功率因数,是可以提高电力系统质量的非常重要的因素。特别是,提高降低效率和在光负荷条件下的功率因数的研究至关重要。升压功率因数校正(PFC)最常用于家用电器,具有若干操作处于轻量负荷;临界传导模式(CRM)控制,固定的按时控制和谷检测技术主要应用于PFC控制。然而,这些控制方案具有以下问题:(1)低效率,由于开关频率在轻载时的突然增加; (2)低功率因数,由于切换正在接通时间限制。本文介绍了一种新的谷检测方法,可以积极地延长定期的准时来克服这些问题。此外,提出并详细描述了新的谷地点检测电路和接通时间扩展信号发生电路。通过与两种现有的CRM PFC控制方法进行比较来证明所提出的方法的优越性,即固定在时间(常规1)和现有的谷检测(常规2)方法。实验结果在20%负荷表明,与固定的准时策略相比,该方法的效率提高为2.1%;与现有的谷检测策略相比,功率因数提高了34.9%。

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