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A Closed-Loop Control Strategy for Producing Nitrile Rubber of Uniform Chemical Composition in a Semibatch Reactor: A Simulation Study

机译:半间歇式反应器中化学成分均匀的丁腈橡胶闭环控制策略的仿真研究

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To improve the quality of industrial nitrile rubbers, the copolymer chemical composition, p(A)(t), should ideally be kept constant along the reaction. This work proposes a closed-loop control strategy for the semibatch operation of the reactor with the aim of regulating p(A)(t) within a reduced range of variability. The proposed strategy is evaluated by simulating a mathematical model of the process. To this effect, a simplified mathematical model of the reaction is first derived and then utilized to obtain a suboptimal control law and a soft-sensor that estimates the polymerization rates. The suboptimal control law is compensated by adding a term proportional to errors in p(A)(t). The simulated example considers the production of the low-composition AJLT grade, with the copolymerization reaction represented by a detailed mathematical model adjusted to an industrial plant. Due to the high performance of the soft-sensor, the simulation results suggest that the proposed closed-loop strategy is efficient to adequately regulate p(A)(t) in spite of structural and parametric uncertainties, while other quality variables remained practically unaffected.
机译:为了提高工业丁腈橡胶的质量,理想的是在反应过程中保持共聚物化学成分p(A)(t)恒定。这项工作提出了一种用于反应堆半间歇运行的闭环控制策略,旨在将p(A)(t)调节在减小的可变性范围内。通过模拟过程的数学模型来评估所提出的策略。为此,首先导出反应的简化数学模型,然后将其用于获得次优控制定律和估算聚合速率的软传感器。通过添加与p(A)(t)中的误差成比例的项来补偿次优控制律。该模拟示例考虑了低组分AJLT等级的生产,其中的共聚反应由针对工厂调整的详细数学模型表示。由于软传感器的高性能,仿真结果表明,尽管存在结构和参数不确定性,但所提出的闭环策略仍能有效地充分调节p(A)(t),而其他质量变量实际上并未受到影响。

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