使用状态变量反进行稳定状态错误取消的增强模型预测控制
Marcos Andreu1, Jaime Rohten2, José Espinoza3
1Department of Mining and Geological Engineering, The University of Arizona, Tucson, AZ 85719, USA.
Sensors (Basel, Switzerland)
|September 28, 2024
概括
这项研究引入了用于光伏应用的增强预测控制,提高了稳定状态的准确性. 集成状态反控制器解决参数不确定性,对于可靠的反应功率调节至关重要.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 可再生能源是可再生能源的来源.
背景情况:
- 预测控制算法提供快速动态响应,但在稳定状态准确性方面存在困难.
- 准确的稳定状态跟踪取决于精确的系统模型和参数.
- 系统参数的不确定性,特别是在光伏 (PV) 应用中,可能导致显著的稳定状态错误,影响反应功率调节.
研究的目的:
- 为光伏应用提供一个预测控制方案,增强了对光伏应用的整体状态反.
- 调查参数不确定性对光伏系统稳定状态误差的影响.
- 分析标准预测控制与拟议的增强控制器之间的稳定性和灵敏性.
主要方法:
- 开发一个预测控制方案,加上完整状态反.
- 在参数不确定性下分析系统的稳定性和灵敏性.
- 对增强控制方法的模拟和实验验证.
主要成果:
- 与标准预测控制相比,拟议的控制器显示了较好的稳定状态参考跟踪.
- 积分状态反有效地减轻了由参数不确定性引起的稳定状态错误.
- 模拟和实验结果都证实了控制器的有效性和稳定性.
结论:
- 增强的预测控制与积分状态反对于光伏应用是有效的,特别是在参数不确定性下.
- 整体状态反对于在光伏系统中实现准确的稳定状态性能和可靠的反应功率调节至关重要.
- 拟议的方法为改善预测控制器在现实应用中的性能提供了一个强大的解决方案.
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