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Parametric study and control of a pressure swing adsorption process to separate the water-ethanol mixture under disturbances

机译:参数研究和控制压力摆幅过程,将水 - 乙醇混合物在干扰下分离

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Dehydration is a necessary step in the conversion chain of fuel grade ethanol, whether biochemical or thermochemical methods are used for synthesizing bioethanol from biomass feedstocks. This paper aims to propose a controlled configuration for a Pressure Swing adsorption process to separate a preconcentrated ethanol-water mixture. The closed-loop system is co-simulated in the Aspen Adsorption-Matlab Simulink environment and is composed of the following elements: A virtual plant predicts the transient cyclic behavior of the PSA process using a nonlinear rigorous mathematical model with distributed parameters. A novel nonlinear reduced control oriented model with a Hammerstein-Wiener structure improves the fit of the plant dynamics compared to classical linear and Hammerstein structures and allows straightforward controller designing. A fundamental element is a (Fuzzy PD + I and Optimal Model-based Predictive) control law calculated with the linear dynamic part of the reduced nonlinear model, stated in the standard state space form. As a result, the process performance is observed without control and using the controllers (Optimal MPC and Fuzzy PD + I), evaluated by perturbation analysis, it was observed that the controllers are able to attenuate and maintain purity 99% (by weight) ethanol within the range allowed by international standards to be used as fuel, likewise, the time (time optimization) was reduced to reach the new steady state cyclic without having to adjust the nominal starting parameters again. Another result obtained when using the controllers was that, in the presence of combined disturbances, the recovery was maintained at a value of 73%.
机译:脱水是燃料级乙醇的转化链中的必要步骤,是否使用生物化学或热化学方法来合成生物质原料的生物乙醇。本文旨在提出一种对压力摆动吸附过程的控制构型,以分离预浓缩的乙醇 - 水混合物。闭环系统在ASPEN Adsorption-Matlab Simulink环境中共模,并由以下元素组成:虚拟工厂使用具有分布式参数的非线性严格数学模型来预测PSA进程的瞬态循环行为。与经典线性和Hammerstein结构相比,具有Hammersein-Wiener结构的新型非线性减少的控制导向模型,提高了植物动力学的拟合,并允许直接的控制器设计。基本要素是用缩小的非线性模型的线性动态部分计算的(模糊PD + I和基于最佳模型的预测)控制定律,标准状态空间形式。结果,观察到通过扰动分析评估的控制器(最佳MPC和模糊PD + I)而无需控制并使用控制器(最佳MPC和模糊PD + I),观察到控制器能够衰减和维持纯度99%(重量)乙醇在使用作为燃料的国际标准允许的范围内,同样地,减少了时间(时间优化)以达到新的稳态循环,而无需调整标称起始参数。使用控制器时获得的另一种结果是,在存在组合干扰时,将回收保持在73%的值。

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