Nonlinear State Estimation and Model Predictive Control of Nitrogen Purification Columns
Nonlinear State Estimation and Model Predictive Control of Nitrogen Purification Columns
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DOI：
10.1021/ie034320d
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发表时间：
2005
影响因子：
4.2
通讯作者：
Shoujun Bian;M. A. Henson;P. Belanger;L. Megan
中科院分区：
文献类型：
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作者：
Shoujun Bian;M. A. Henson;P. Belanger;L. Megan
氮气净化塔是空气分离设备的关键单元操作，其为化学、钢铁、食品加工、医疗和半导体行业生产净化气体。这些非常高纯度的柱需要在很宽的生产率范围内操作，以响应随时间变化的电力成本，这促使了非线性控制策略的发展。我们利用本小组先前开发的非线性波动模型，设计一个模拟氮气净化塔的非线性模型预测控制器。在白杨动力学（白杨技术）中构建的第一原理模型被用作模拟研究中的替代工厂。未测量的波的位置和关键波模型参数的估计产生与扩展卡尔曼滤波器使用组合的成分和温度测量策略性地放置在沿着列。几个估计公式进行了研究，以评估不同的测量组合的影响。估计...
Nitrogen purification columns are critical unit operations of air separation plants that produce purified gases for the chemical, steel, food processing, medical, and semiconductor industries. The need to operate these very high purity columns over a wide range of production rates in response to time-varying electrical costs motivates the development of nonlinear control strategies. We utilize a nonlinear wave model previously developed by our group to design a nonlinear model predictive controller for a simulated nitrogen purification column. A first principles model constructed in Aspen Dynamics (Aspen Technology) is used as a surrogate plant in the simulation studies. Estimates of the unmeasured wave position and key wave model parameters are generated with an extended Kalman filter using a combination of composition and temperature measurements strategically placed along the column. Several estimator formulations are investigated to evaluate the effects of different measurement combinations. The estim...