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D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models

机译:D-RM Builder:一种软件工具,用于从高保真模型生成快速准确的非线性动态简化模型

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摘要

Dynamic reduced models (D-RMs) derived from rigorous models are highly desired for speeding up dynamic simulations. A useful software tool named D-RM Builder was developed to automatically generate data-driven D-RMs from high-fidelity dynamic models. It allows a user to configure input/output variables, sample input space and generate sequences of step changes, launch high-fidelity model simulations, fit simulation results to a D-RM, and finally visualize and validate the D-RM. The Decoupled A-B Net (DABNet) nonlinear system identification model was used as the main D-RM type and was enhanced to model nonlinear multiple input and multiple output dynamic systems with options for double-pole formulation to handle fast/slow time scales and pole value optimization. The D-RM Builder tool has been successfully used to generate D-RMs for a highly nonlinear pH neutralization reactor system and a two-time-scale bubbling fluidized bed adsorber-reactor for CO_2 capture.
机译:为加快动态仿真的速度,迫切需要从严格的模型中获得动态缩减模型(D-RM)。开发了一种名为D-RM Builder的有用软件工具,可以根据高保真动态模型自动生成数据驱动的D-RM。它允许用户配置输入/输出变量,采样输入空间并生成阶跃变化序列,启动高保真模型仿真,将仿真结果拟合到D-RM中,最后可视化并验证D-RM。使用去耦AB Net(DABNet)非线性系统识别模型作为主要的D-RM类型,并对其进行了增强,以对非线性多输入和多输出动态系统进行建模,并提供双极点公式化选项,以处理快速/慢速时标和极点值优化。 D-RM Builder工具已成功用于为高度非线性的pH中和反应器系统和用于CO_2捕集的两倍规模鼓泡流化床吸附器-反应器生成D-RM。

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