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Updated: Jun 28, 2025

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基于深度学习的模型预测控制器在磁悬浮球系统上.

Tianbo Peng1, Hui Peng1, Rongwei Li2

  • 1School of Automation, Central South University, Changsha, Hunan 410083, China; Xiangjiang Laboratory, Changsha 410205, China.

ISA transactions
|April 21, 2024
PubMed
概括

这项研究介绍了一种基于长短期记忆 (LSTM) 的新型自动回归模型,带有外源输入变量 (LSTM-ARX),用于控制不稳定的磁悬浮 (磁悬浮) 系统. 拟议的基于LSTM-ARX的预测功能控制器 (PFC) 显著提高了实时控制性能和效率.

关键词:
在LSTM-ARX中使用.在MPC中,MPC是MPC.磁悬浮系统是一种磁悬浮系统.非线性模型是一种非线性模型.在PFC中,PFC是PFC.

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