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Dynamic Simulation and Direct Adaptive Control of a Fixed-Bed Reactor

机译:固定床反应器的动态仿真和直接自适应控制

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摘要

This paper considers the conversion control problem of a fixed-bed reactor. A finite element method using the software of COMSOL Multiphysics is utilized to investigate the system dynamics of the reactor which are described by a system of partial differential equations (PDE). To circumvent the runaway phenomena of the hot spot temperature and to achieve the stable conversion control, a direct adaptive control strategy is suggested for a fixed-bed reactor having highly exothermic reactions. A bounded single neuron controller is implemented in the control system to regulate the exit conversion rate. In associated with a simple yet stable parameter tuning algorithm, the controller is able to learn to control the fixed-bed reactor adaptively with using the information of process output errors. The proposed scheme is directly applicable and easy to implement; it does not rely on a complex process PDE model and the only a priori process knowledge is the system output response direction. The control performance of the proposed scheme is compared with an IMC-PI controller. Extensive simulation results show that the direct adaptive control scheme outperforms the conventional linear controller, especially when facing with unexpected system variations.
机译:本文考虑了固定床反应器的转化控制问题。利用使用COMSOL Multiphysics软件的有限元方法来研究反应堆的系统动力学,该系统动力学由偏微分方程(PDE)系统描述。为了规避热点温度的失控现象并实现稳定的转化控制,对于具有高放热反应的固定床反应器,提出了一种直接的自适应控制策略。在控制系统中实施有界单神经元控制器以调节出口转化率。与简单但稳定的参数调整算法相关联,控制器能够使用过程输出错误信息来学习自适应地控制固定床反应器。提出的方案直接适用,易于实施;它不依赖复杂的过程PDE模型,唯一的先验过程知识是系统输出响应方向。将该方案的控制性能与IMC-PI控制器进行了比较。大量的仿真结果表明,直接自适应控制方案的性能优于传统的线性控制器,尤其是在面对意料之外的系统变化时。

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