估计卡夫特工厂中的滞后时间.
Jerry Ng1, Yuri Lawryshyn1, Nikolai DeMartini2
1Chemical Engineering and Applied Chemistry, University of Toronto Faculty of Applied Science & Engineering, Toronto, Ontario, Canada.
自主回归外源 (ARX) 模型量化了纸厂的时间滞后,揭示了上游变化如何影响下游测量. 预计加热值和沸点上升的延迟与模拟结果一致,表明液体储中的混合不完美.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 过程控制 过程控制
- 纸和纸张工业 纸和纸张工业 纸和纸张工业
背景情况:
- 纸厂的时间滞后掩盖了上游操作和下游测量之间的关系.
- 精确的滞后估计对于优化动力回收循环至关重要,特别是在液体储中.
- 了解这些延迟可以提高过程控制和预测准确性.
研究的目的:
- 通过自回归外源 (ARX) 模型估计加拿大纸厂的时间滞后.
- 研究物种变化的延迟影响对液体的关键性质 (加热值,粘度,沸点上升) 的研究.
- 将ARX模型预测与自回归 (AR) 和持久性模型进行比较.
主要方法:
- 使用自回归外源 (ARX) 模型来模拟和估计过程滞后.
- 将ARX模型应用于加拿大纸厂的现实数据.
- 将ARX模型性能与自回归 (AR) 和持久性模型进行比较.
主要成果:
- 在ARX模型中,在模拟的液体储系统中,成功地近似了滞后.
- 在物种变化后,预计的加热值 (49小时) 和沸点上升 (41小时) 的延迟与磨坊模拟和液压停留时间一致.
- 没有发现对粘度的滞后影响;ARX和AR模型显示的预测略好于持久性模型.
结论:
- 纸厂的液体储具有不完美的混合,导致显著的时间滞后.
- ARX模型提供了一种可靠的方法来估计这些过程滞后.
- 对于具有较长停留时间的单元的上游测量具有有限的预测价值.
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