基于数值方法的混合控制器,用于具有长时间延迟的化学过程
Marco Herrera1, Diego Benítez1, Noel Pérez-Pérez1
1Colegio de Ciencias e Ingenierías "El Politécnico", Universidad San Francisco de Quito USFQ, Quito 170157, Ecuador.
ACS omega
|July 24, 2023
概括
一个新的混合控制框架有效地管理化学过程的时间延迟,使用粒子群优化 (PSO) 进行增强的控制器调整. 这种方法确保在各种条件下稳定和令人满意的性能,包括非线性和干扰.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 控制系统 控制系统
背景情况:
- 化学过程的长时间延迟给控制带来了重大挑战.
- 现有的控制方法经常与非线性和模型不确定性作斗争.
研究的目的:
- 为管理化学过程时间延迟提出混合控制框架.
- 使用粒子群优化 (PSO) 增强控制器参数调整.
主要方法:
- 一个混合控制框架,在内部模型控制 (IMC) 结构中结合数值方法.
- 使用粒子群优化 (PSO) 算法进行控制器参数调整.
- 对高阶,反响和非线性化学反应器系统进行模拟.
- 在温度控制实验室 (TCLab) 设置上进行实验验证,并引入软件延迟.
主要成果:
- 拟议的混合控制器表现出稳定和令人满意的性能.
- 有效管理非线性,设定点变化,过程干扰和建模错误.
- 使用雷达图表进行的比较分析强调了不同指标的控制器性能.
结论:
- 混合控制框架为具有显著时间延迟的化学过程提供了强大的解决方案.
- 基于PSO的调整可以提高控制器的适应性和性能.
- 该方法通过模拟和实验测试进行验证,显示其实际可用性.
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