基于现场可编程门阵列的神经网络控制策略用于计算机电源应用程序
J Jayachandran1, S Malathi2, N Prabaharan3
1Department of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, 613401, Tamil Nadu, India.
Scientific reports
|September 26, 2025
概括
本研究介绍了一种使用人工神经网络 (ANN) 控制的新型多输出开关模式电源 (MOSMPS),以提高个人电脑中的电源质量和电压调节.
科学领域:
- 电气工程 电气工程
- 电力电子 电力电子 电力电子
- 控制系统 控制系统
背景情况:
- 传统的开关模式电源 (SMPS) 经常受到电源质量问题和传导损失的影响.
- 传统设计的二极管桥直流器有助于降低效率和增加散热.
- 个人电脑需要稳定高效的电源供应,并具有高功率质量.
研究的目的:
- 为个人电脑提出和验证一种新的多输出开关模式电源 (MOSMPS).
- 使用人工神经网络 (ANN) 控制来改善电源质量 (PQ) 和输出电压调节.
- 为了最大限度地减少导电损失,并通过消除二极管桥整流器来增强热管理.
主要方法:
- 设计和建模了一个在不连续导电模式 (DCM) 中运行的无桥式转换器拓.
- 一个人工神经网络 (ANN) 控制器被开发用于高级控制策略的实施.
- 拟议的带有ANN控制的MOSMPS被模拟并使用FPGA处理器进行实验验证.
- 性能是根据功率质量 (PQ) 指数进行评估,并与传统方法进行比较.
主要成果:
- 拟议的带有ANN控制的MOSMPS在电源质量 (PQ) 和输出电压调节方面取得了显著的改善.
- 在不连续导电模式 (DCM) 中运行促进了零电流切换,并改善了功率因子 (PF).
- 无桥式拓有效地减少了导电损失,并提高了热性能.
- 实验结果验证了模拟模型和ANN控制器的有效性.
结论:
- 拟议的MOSMPS拓与ANN控制器集成,为个人电脑电源提供了卓越的解决方案.
- 该设计有效地解决了电源质量 (PQ) 问题,并提高了整体系统效率.
- 无桥式转换器和ANN控制策略提供了一个强大而高效的电源管理系统.
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