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An input/output approach to the optimal transition control of a class of distributed chemical reactors

机译:一种输入/输出方法,用于一类分布式化学反应器的最佳过渡控制

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An input/output approach to the optimal concentration transition control problem of a certain type of distributed chemical reactors is proposed based on the concept of residence time distribution, which can be determined in practice by using data from experimental measurements or computer simulations. The main assumptions for the proposed control method to apply are that the thermal and fluid flow fields in the reactor are at pseudo-steady-state during transition and that the component whose concentration is to be controlled participates only in first-order reactions. Using the concept of cumulative residence time distribution, the output variable is expressed as the weighted sum of discretized inputs or input gradients in order to construct an input/output model, on the basis of which a constrained optimal control problem, penalizing a quadratic control energy functional in the presence of input constraints, is formulated and solved as a standard least squares problem with inequality constraints. The effectiveness of the proposed optimal control scheme is demonstrated through a continuous-stirred-tank-reactor (CSTR) network and a tubular reactor with axial dispersion and a first-order reaction. It is demonstrated through computer simulations that the proposed control method is advantageous over linear quadratic regulator (LQR) and proportional-integral (PI) control in terms of control cost minimization and input constraint satisfaction. (C) 2007 Elsevier Ltd. All rights reserved.
机译:基于停留时间分布的概念,提出了一种输入/输出方法来解决某种类型的分布式化学反应器的最佳浓度过渡控制问题,该时间可以通过使用实验测量或计算机模拟中的数据在实践中确定。所建议的控制方法适用的主要假设是,反应器中的热流场和流体流场在过渡过程中处于伪稳态,并且要控制其浓度的组分仅参与一阶反应。使用累积停留时间分布的概念,输出变量表示为离散输入或输入梯度的加权总和,以构建输入/输出模型,在此模型的基础上,约束了最优控制问题,对二次控制能量进行了惩罚在存在输入约束的情况下,函数被公式化和求解为具有不等式约束的标准最小二乘问题。通过连续搅拌反应釜(CSTR)网络和具有轴向分散和一级反应的管式反应器,证明了所提出的最优控制方案的有效性。通过计算机仿真表明,在控制成本最小化和输入约束满足方面,所提出的控制方法优于线性二次调节器(LQR)和比例积分(PI)控制。 (C)2007 Elsevier Ltd.保留所有权利。

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