流体催化裂化装置的模型预测控制

A. Boum, A. Latifi, J. Corriou
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引用次数: 4

摘要

描述FCC过程的动态模型受Lee和Groves模型的启发。该模型使用三个块动力学来描述作为塞流系统的立管中的裂化反应。立管的行为由汽油、汽油、焦炭和能量平衡描述为塞流反应器。分隔符被视为CSTR。该再生器主要由一个浓区和一个稀区组成,也被认为是代表催化剂的CSTR,其动态行为由焦炭、氧和能量平衡来描述。该模型足够复杂,可以捕捉催化裂化过程中发生的主要动态影响,并控制提升管出口温度和蓄热器密床温度等关键变量。被操纵的输入是再生器的进气口流速和再生催化剂的流速。对被操纵的变量施加硬约束。尽管FCC具有重要的非线性,但模型预测控制能够在考虑约束条件的同时保持对对象的平滑多变量控制。
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Model predictive control of a fluid catalytic cracking unit
The dynamic model describing the FCC process is inspired from Lee and Groves model. The model uses three lump kinetics to describe the cracking reactions in the riser considered as a plug-flow system. The riser behavior is described by gasoil, gasoline, coke and energy balances as a plug flow reactor. The separator is considered as a CSTR. The regenerator mainly constituted by a dense and a dilute zone is also considered as a CSTR to represent the catalyst and its dynamic behavior is described by coke, oxygen and energy balances. This model is sufficiently complex to capture the major dynamic effects that occur in a FCC and to control the key variables which are the riser outlet temperature and the regenerator dense bed temperature. The manipulated inputs are the air inlet flow rate in the regenerator and the regenerated catalyst flow rate. Hard constraints are imposed with respect to the manipulated variables. In spite of the important nonlinearity of the FCC, Model Predictive Control is able to maintain a smooth multivariable control of the plant, while taking into account the constraints.
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