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A model structure-driven hierarchical decentralized stabilizing control structure for process networks

机译:模型结构驱动的过程网络分层分散稳定控制结构

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Based on the structure of process models a hierarchically structured state-space model has been proposed for process networks with controlled mass convection and constant physico-chemical properties. Using the theory of cascade-connected nonlinear systems and the properties of Metzler and Hurwitz matrices it is shown that process systems with controlled mass convection and without sources or with stabilizing linear source terms are globally asymptotically stable. The hierarchically structured model gives rise to a distributed controller structure that is in agreement with the traditional hierarchical process control system structure where local controllers are used for mass inventory control and coordinating controllers are used for optimizing the system dynamics. The proposed distributed controller is illustrated on a simple non-isotherm jacketed chemical reactor.
机译:基于过程模型的结构,提出了具有受控质量对流和恒定理化性质的过程网络的分层结构状态空间模型。使用级联的非线性系统的理论以及Metzler和Hurwitz矩阵的性质,表明具有受控质量对流,无源或线性源项稳定的过程系统全局渐近稳定。分层结构的模型产生了与传统的分层过程控制系统结构一致的分布式控制器结构,在传统的分层过程控制系统结构中,本地控制器用于批量库存控制,而协调控制器用于优化系统动力学。提出的分布式控制器在一个简单的非等温夹套化学反应器上进行了说明。

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