对于多变量非最小相位系统的最佳控制器识别
D D Huff1, L Campestrini2, G R Gonçalves da Silva3
1GIPSA-Lab, Université Grenoble Alpes, Grenoble, France.
ISA transactions
|July 30, 2024
概括
本研究介绍了非最小阶段 (NMP) 系统的数据驱动控制方法,使控制器设计无需工厂模型. 该方法成功地使用输入输出数据识别了NMP传输零和最佳控制器参数.
科学领域:
- 控制工程 控制工程 控制工程
- 系统识别系统识别系统
- 数据驱动的控制控制数据驱动的控制
背景情况:
- 设计用于未知的系统的控制器是具有挑战性的.
- 非最小阶段 (NMP) 系统在控制设计中带来了特定的困难.
- 模型参考方法需要适应数据驱动的NMP系统控制.
研究的目的:
- 为非最小阶段 (NMP) 系统开发数据驱动的控制策略.
- 为NMP系统适应最佳控制器识别 (OCI) 方法.
- 从输入输出数据中识别NMP传输零和控制器参数.
主要方法:
- 使用转移函数矩阵作为参考模型的模型参考范式.
- 调整最佳控制器识别 (OCI) 公式以实现数据驱动的NMP控制.
- 使用方便的参考模型参数化和灵活的性能标准.
主要成果:
- 成功确定了该工厂的NMP传输零点.
- 确定NMP系统的最佳控制器参数.
- 通过对对角形和块三角形参考模型的模拟示例来证明有效性.
结论:
- 拟议的数据驱动方法有效地解决了NMP系统中的控制挑战.
- 经过调整的OCI方法允许识别关键的NMP系统特征.
- 这种方法为控制器设计提供了一个可行的解决方案,当工厂模型是未知的.
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