使用基于TD3算法设置值的PVC聚合过程的最佳控制
Shuzhi Gao1, Qing Liu2, Shiwei Yang2
1Equipment Reliability Institute, Shenyang University of Chemical Technology, Shenyang 110142, China.
ISA transactions
|May 13, 2025
概括
本研究介绍了PVC聚合物的数据驱动控制方法,解决了操作和基本循环计算之间的时间尺度差异. 该方法结合了代式提升和TD3算法,用于增强过程控制.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 聚合物科学 聚合物科学
- 控制系统 控制系统
背景情况:
- 聚乙烯 (PVC) 聚合具有挑战,因为运行和基环计算的时间尺度不同.
- 很难建立精确的非线性模型,用于PVC聚合物的操作层.
研究的目的:
- 开发基于数据的PVC聚合物的运行级控制方法,克服时间尺度上的差异.
- 为了解决操作层中非线性建模的复杂性.
主要方法:
- 使用了一种代提升技术来同步基循环和操作层的时间尺度.
- 将闭环基础系统集成到操作层模型中,为通用控制对象增强它.
- 采用TD3 (双延迟深确定性政策梯度) 算法,一种无模型的深度强化学习方法,用于在线策略代.
主要成果:
- 成功为操作层创建了通用控制对象,使用循环层设置值作为输入,操作指数作为输出.
- 实现了在线策略代算法,并同步更新价值函数和控制策略.
- 展示了基于数据的方法,以有效地管理PVC聚合控制的多时间尺度性质.
结论:
- 拟议的基于数据的运行级控制方法有效地处理PVC聚合物的不同时间尺度.
- 代提升和TD3算法的结合为复杂的工业过程控制提供了强大的解决方案.
- 这种方法为具有挑战性的聚合过程提供了传统建模方法的可行替代方案.
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