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Updated: Jan 18, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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通过强化预测性2DoF-MPC和状态观察者LADRC用于智能电力系统的频率处理

Muhammad Majid Gulzar1

  • 1Department of Control & Instrumentation Engineering, Center for Sustainable Energy Systems, Center for Smart Mobility and Logistics, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.

ISA transactions
|June 6, 2025
PubMed
概括

本研究介绍了一种强大的基于自由度的2度模型预测控制器 (2DoF-MPC),与线性主动干扰排斥控制 (LADRC) 集成,用于互联智能电力系统 (ISPS) 的增强频率管理. 这种新的方法通过有效地减轻干扰引起的频率振荡来确保系统的稳定性.

关键词:
2 个自由度的自由度.频率管理频率管理线性活性干扰的排斥线性活性干扰模型预测控制模型预测控制电池的Redox流量电池是如何进行的?可再生能源系统可再生能源系统

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