在不确定性下,对延迟循环加热-冷却过程的建模和代数控制的进一步实验结果
Libor Pekař1,2, Radek Matušů1, Petr Dostálek1
1Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 76005, Zlín, Czech Republic.
Heliyon
|August 10, 2023
概括
这项研究增强了具有显著延迟的加热冷却系统的强大建模和控制. 新方法提高了模型准确性和控制器性能,优于现有的技术,如对干扰拒绝的史密斯预测器.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 控制系统工程 控制系统工程
背景情况:
- 加热-冷却过程经常表现出长时间的输入-输出和内部延迟,使精确的建模和控制变得复杂.
- 现有的模型可能无法充分捕捉不同条件下的系统不确定性和动态行为.
研究的目的:
- 实验建模和控制循环加热-冷却实验室过程的实验建模和控制,以显著的延迟和不确定性.
- 开发和验证一个改进的无限维模型和强大的控制策略.
主要方法:
- 基于热量和质量转移原理的无限维模型的开发,包括所有相关的延迟.
- 使用测量数据优化静态和动态模型参数,考虑所有稳定状态变化.
- 使用代数工具设计强大的控制器,用于不同的控制系统配置.
主要成果:
- 开发了一个增强的,创新的流程模型,并与最近的模型和简化方法进行了比较.
- 设计和实验验证了强大的控制器,证明了强大的稳定性和性能.
- 拟议的控制器表现出卓越的性能,特别是与史密斯预测器相比,在干扰拒绝方面表现出卓越的性能.
结论:
- 开发的无限维模型提供了一个更准确的表示加热-冷却过程的延迟.
- 强大的控制策略在系统稳定性和性能方面提供了显著的改进,特别是在不确定性条件下.
- 这项研究强调了史密斯预测器在此类系统的干扰拒绝方面的局限性.
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