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Error-feedback temperature regulation for a reverse flow reactor driven by a distributed parameter exosystem
Journal of Process Control ( IF 3.3 ) Pub Date : 2022-07-29 , DOI: 10.1016/j.jprocont.2022.07.010
Ilyasse Aksikas

This work is devoted to solve the state and error-feedback control problems for a catalytic reverse flow reactor (CFRR), which is modeled by nonlinear partial differential equations (PDEs). These two regulation problems will be solved based on the linearized infinite-dimensional representation. The objective is to track a desired output reference under the presence of disturbances. Both the reference trajectory and the disturbance profiles are generated by a distributed parameter exosystem. First, a state feedback stabilizing regulator is designed which drives the process output to a reference trajectory. The second main aim is to develop a dynamical controller that uses the tracking error as an input. Furthermore, it has been demonstrated that the closed-loop plant is exponentially stable and the tracking error asymptotically goes to zero. The developed regulators are evaluated through numerical simulations for the case study of methane combustion.



中文翻译:

分布式参数外系统驱动的逆流反应器的误差反馈温度调节

这项工作致力于解决催化逆流反应器 (CFRR) 的状态和误差反馈控制问题,该反应器由非线性偏微分方程 (PDE) 建模。这两个调节问题将基于线性化的无限维表示来解决。目标是在存在干扰的情况下跟踪所需的输出参考。参考轨迹和干扰剖面都是由分布式参数外系统生成的。首先,设计了一个状态反馈稳定调节器,将过程输出驱动到参考轨迹。第二个主要目标是开发一种使用跟踪误差作为输入的动态控制器。此外,已经证明闭环设备是指数稳定的,并且跟踪误差渐近为零。

更新日期:2022-07-29
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