适应性调节一个非逆转的buck boost转换器与莱文伯格Marquardt基于滑动模式预测控制方案的调节
Omid Asvadi-Kermani1, Hoda Sorouri2, Arman Oshnoei2
1Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. o.asvadikermani@modares.ac.ir.
Scientific reports
|August 6, 2025
概括
本研究介绍了一种自适应滑动模式模型预测控制 (ASMPC),用于精确调节逆转器电压. ASMPC提供更快的融合和更好的稳定性,提高能源效率.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 电力电子 电力电子 电力电子
背景情况:
- 精确的输出电压调节对于直流/直流转换器至关重要,特别是在可再生能源系统中.
- 像PI控制器这样的传统控制器在转换器中与非线性和动态变化作斗争.
- 模型预测控制 (MPC) 提供了一个处理约束的框架,但可以在计算上密集,对模型不准确性敏感.
研究的目的:
- 提出一个自适应滑动模式模型预测控制 (ASMPC) 方案,用于准确调节低压,非逆转的buck-boost转换器的输出电压.
- 通过在受约束的MPC框架中整合一个滑动模式项来提高控制器融合速度和闭环稳定性.
- 通过在线模型更新,提高控制系统的适应性,以转换非线性和操作条件变化.
主要方法:
- 开发了一个ASMPC控制器,将滑动模式术语嵌入到一个有限制的MPC框架中,并具有明确的稳定性标准.
- 实现了在线线性状态空间模型更新,使用基于梯度的Levenberg-Marquardt算法来适应转换器动态.
- 通过在光伏系统中的模拟和DC/DC转换器上的实验测试验证了ASMPC方案.
主要成果:
- 在不同的参考电压,负载条件和输入电压波动下,ASMPC证明了精确的输出电压跟踪.
- 与基线自适应MPC和传统PI控制相比,拟议的控制器实现了更快的沉降时间和减少电压波动.
- 在各种运行场景中观察到大约3%-6%的能源效率提高.
结论:
- 该ASMPC方案提供了一个强大的和高效的解决方案,用于精确的电压调节在buck-boost转换器.
- 在线模型更新显著提高了控制器处理非线性和动态变化的能力.
- 与传统方法相比,ASMPC提供了更高的性能,使其适合光伏系统等应用.
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