在政策之外的基于强化学习的故障耐受性H∞控制,用于具有随时间变化的不确定性的顶部分离系统
Yuguang Zhang1, Juan Wang1, Shaobao Li1
1School of Electrical Engineering, Yanshan University, Qinhuangdao, 066004, China.
ISA transactions
|November 21, 2024
概括
本研究介绍了海上石油和天然气顶部分离系统的耐故障控制 (FTC) 系统,通过使用H-infinity控制和强化学习来提高对门故障和干扰的可靠性.
科学领域:
- 石油工程是石油工程中的一个.
- 控制系统工程 控制系统工程
- 海上作战 海上作战 海上作战
背景情况:
- 海上石油和天然气业务面临的挑战是由于恶劣的海洋环境而产生的水处理.
- 顶部分离系统容易发生动态模型变化和门故障,影响运行效率.
- 沉干扰和结构不确定性进一步使系统控制复杂化.
研究的目的:
- 为顶部分离系统开发一个耐故障控制 (FTC) 框架.
- 解决在海上生产的水处理中执行器故障,模型不确定性和拖延干扰的问题.
- 在动态的海洋环境中提高分离系统的稳定性和性能.
主要方法:
- 一个带有水位和压力下降比率 (PDR) 子系统的级联控制结构.
- 开发一个耐故障的H-infinity控制框架.
- 制定FTC问题作为两个玩家的差异游戏.
- 使用游戏代数里卡蒂方程 (GARE) 的解决方案.
- 通过使用非政策强化学习 (RL) 的无模型方法实施.
主要成果:
- 一个强大的FTC框架被设计用于管理执行器故障和拖动干扰.
- H-无限控制方法有效地减轻了模型的不确定性,提高了性能.
- 微分游戏公式通过GARE提供了纳什平衡的解决方案.
- 政策之外的RL使得FTC战略的无模拟实施成为可能.
- 模拟研究证实了拟议的控制解决方案的有效性.
结论:
- 开发的耐故障的H-infinity控制策略显著提高了离岸顶部分离系统的可靠性.
- 强化学习的整合提供了一种实际的,无模型的方法,用于在恶劣环境中实施先进的控制.
- 这项研究通过解决关键的控制挑战,为更安全,更有效的海上石油和天然气生产做出了贡献.
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