发表机构
Universidad de Los Lagos; Universidad de La Frontera（洛斯拉戈斯大学; 拉弗龙特拉大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出工业气浮纸浆干燥机的第一性原理动态模型与分层DSM控制架构，集成多物理场并验证效率，实现总体效率85.8%、热效率86.9%及SMER 1.39 kg/kWh，为数字孪生与优化奠定基础。
AI 中文摘要
本文提出了一种面向工业气浮纸浆干燥机的基于第一性原理的动态建模与控制框架。所提出的非线性模型将气流、压力、湿度、湿度测量学、传热以及风机机电动力学整合到一个统一的状态空间表述中。此外，还开发了一个包含总体效率、热效率、风机效率和比水分蒸发率（SMER）的效率分析框架。为提升过程性能，提出了一种基于DSM的分层控制架构，该架构结合了级联和非级联控制回路以及监督优化。该模型在MATLAB/Simulink中实现，并在热扰动、成分扰动、液压扰动和机械扰动下进行了评估。仿真结果表明，该模型实现了精确的湿度调节、有效的扰动抑制和良好的能量性能，总体效率达到85.8%，热效率为86.9%，平均SMER为1.39 kg/kWh。据作者所知，这项工作是对工业气浮纸浆干燥机进行综合动态建模与控制研究的首批工作之一，并为未来的数字孪生、先进控制和能量优化应用提供了一个概念验证平台。
英文摘要
A first-principles dynamic modeling and control framework for industrial airborne pulp dryers is presented. The proposed nonlinear model integrates airflow, pressure, moisture, psychrometric, heat-transfer, and fan electromechanical dynamics within a unified state-space formulation. An efficiency analysis framework incorporating overall efficiency, thermal efficiency, fan efficiency, and specific moisture evaporation ratio (SMER) is also developed. To enhance process performance, a hierarchical DSM-based control architecture combining cascade and non-cascade control loops with supervisory optimization is proposed. The model was implemented in MATLAB/Simulink and evaluated under thermal, compositional, hydraulic, and mechanical disturbances. Simulation results demonstrated accurate moisture regulation, effective disturbance rejection, and favorable energetic performance, achieving an overall efficiency of 85.8%, a thermal efficiency of 86.9%, and an average SMER of 1.39 kg/kWh. To the best of the authors' knowledge, this work represents one of the first comprehensive dynamic modeling and control studies of industrial airborne pulp dryers and provides a proof-of-concept platform for future digital-twin, advanced control, and energy-optimization applications.
