具有新形式的执行器带宽限制变热器的人类型的无模型控制
Yitong Zhou1, Jing Chang2, Weisheng Chen3
1School of Aerospace Science and Technology, Xidian University, Xi'an 710071, China; School of Internet of Things, Wuxi University, Wuxi 214105, China.
ISA transactions
|November 26, 2025
概括
这项研究介绍了热交换机的类似人体的无模型控制 (HLMFC). 这种创新的方法可以从操作人员那里学习,提高控制效率,减少温度波动,而不需要复杂的模型.
科学领域:
- 工业过程控制 工业过程控制
- 换热器动力学 换热器动力学
- 在工程领域的人工智能.
背景情况:
- 由于系统动态和安全需求,换热器的控制是复杂的.
- 现有的方法通常需要详细的模型,限制灵活性.
- 操作员的专业知识是有价值的,但很难正式用于控制.
研究的目的:
- 为工业换热器开发一个无模型的控制方案.
- 为了利用人类操作员的学习来加强控制策略.
- 为了提高系统稳定性和减少运行温度波动.
主要方法:
- 开发了一个类似人类的无模型控制 (HLMFC) 方案.
- 高度水上机械学习决策规则从经验丰富的运营商的行动.
- 引入了控制效率因子和代机制,利用热平衡.
主要成果:
- 拟议的HLFMC方案独立于系统模型.
- 控制策略的有限稳定性被严格证明.
- 实验结果证实了降低温度波动和灵活的执行器频率分配.
结论:
- HLMFC为换热器提供了基于模型的控制的可行替代方案.
- 该战略有效地抑制了不稳定,并提高了运营效率.
- 这种方法允许在工业环境中灵活管理执行器.
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