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Dynamic Modelling And Nonlinear Model Predictive Control Of A Fluid Catalytic Cracking Unit

机译:催化裂化装置的动力学建模和非线性模型预测控制

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摘要

The paper presents the application of two nonlinear model predictive control (NMPC) approaches: quasi-infinite-horizon nonlinear MPC (QIHNMPC) and moving horizon estimator nonlinear MPC (MHE-NMPC) to the Fluid Catalytic Cracking Unit (FCCU). A complex dynamic model of the reactor-regenerator-fractionator system is developed and subsequently used in the controller. The novelty of the model consists in that besides the complex dynamics of the reactor-regenerator system, it also includes the dynamic model of the fractionator, as well as a five lumps kinetic model for the riser. Tight control is achieved using the QIHNMPC approach. The MHE-NMPC considers important features of a real-time control algorithm, resulting in a framework for practical NMPC implementation, such as: state and parameter estimation and efficient solution of the optimisation problem. In the NMPC approach, only measurements available in practice are considered, whereas the rest of the states are estimated together with uncertain model parameters, via MHE technique. Using an efficient numerical implementation based on the multiple shooting algorithm real-time feasibility of the approach is achieved. The incentives of the proposed approaches are assessed on the simulated industrial FCCU.
机译:本文介绍了两种非线性模型预测控制(NMPC)方法:准无限水平非线性MPC(QIHNMPC)和移动层估计器非线性MPC(MHE-NMPC)在流化催化裂化单元(FCCU)中的应用。开发了反应堆-再生器-分离器系统的复杂动态模型,随后将其用于控制​​器中。该模型的新颖之处在于,除了反应堆-蓄热器系统的复杂动力学之外,它还包括分馏塔的动力学模型以及立管的五集总动力学模型。使用QIHNMPC方法可以实现严格控制。 MHE-NMPC考虑了实时控制算法的重要特征,从而形成了用于实际NMPC实现的框架,例如:状态和参数估计以及优化问题的有效解决方案。在NMPC方法中,仅考虑实践中可用的测量,而其余状态则通过MHE技术与不确定的模型参数一起估算。使用基于多重射击算法的有效数值实现,该方法的实时可行性得以实现。在模拟的工业FCCU上评估了所建议方法的动机。

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