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Management of variation in plant-wide process control system design and analysis.

机译:全厂过程控制系统中的变量管理设计和分析。

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摘要

In recent years, rising material and energy costs have forced process design toward greater utilization of heat integration and materials recycle. This trend reduces the equipment over-design and availability of surge capacity that have frequently been used to lessen the impact of disturbances and reduce the interaction between unit operations. With this change in design philosophy, control system design must move toward a more global view, recognizing that unit operations seldom function in an "isolated" environment.;The approach to control system design and analysis advocated here attempts to go beyond the traditional concepts. In doing so, the process is analyzed as a whole, instead of a sum of independent parts, and the traditional view of disturbance rejection is discarded in favor of a view that focuses on managing variation. Disturbance rejection is the ability of a control system to eliminate the impact of a disturbance on controlled variables. This type of action transforms the disturbance (variation) into movements in the manipulated variables. From a plant-wide perspective, a control system that demonstrates good local disturbance rejection may actually transform the variation to a more critical location in the plant. An approach to disturbance rejection that focuses on the management of variation can allow the plant to better meet the operating objectives.;This work applies a number of steady-state analysis tools to plant-wide control system design and analysis. Singular value decomposition (SVD), relative disturbance gain (RDG), and relative control gain (RCG) are applied to evaluate the variation transformation properties of various control strategies for a plant with material recycle. The relative importance of variables is incorporated in a manner such that the ability of a control strategy to best meet the overall operating objectives of the plant in the face of disturbances is evaluated. These tools are effectively used to screen our poor control strategies, to reduce the number of strategies that must be given further consideration to a tractable level.
机译:近年来,不断上升的材料和能源成本迫使工艺设计趋向于更多地利用热集成和材料循环利用。这种趋势减少了设备的过度设计和浪涌能力的可用性,而浪涌能力经常被用于减轻干扰的影响并减少单元操作之间的相互作用。随着设计理念的这种变化,控制系统设计必须朝着更全局的方向发展,认识到单元操作很少在“隔离的”环境中发挥作用。此处提出的控制系统设计和分析方法试图超越传统概念。这样做时,整个过程将被分析,而不是独立部分的总和,而传统的干扰抑制观点则被抛弃,取而代之的是侧重于管理变化的观点。干扰抑制是控制系统消除干扰对受控变量的影响的能力。这种类型的动作将干扰(变化)转换为受控变量的运动。从整个工厂的角度来看,具有良好的局部干扰抑制能力的控制系统实际上可以将变化转换到工厂中更为关键的位置。一种专注于变化管理的抗干扰方法可以使工厂更好地满足运营目标。这项工作将许多稳态分析工具应用于整个工厂的控制系统设计和分析。奇异值分解(SVD),相对扰动增益(RDG)和相对控制增益(RCG)用于评估具有材料回收的工厂的各种控制策略的变化转化特性。变量的相对重要性以一种方式合并,以便评估控制策略在遇到干扰时最能满足工厂总体运行目标的能力。这些工具有效地用于筛选我们不良的控制策略,以减少必须进一步考虑的策略数量。

著录项

  • 作者

    Williams, Vera Jo.;

  • 作者单位

    The University of Tennessee.;

  • 授予单位 The University of Tennessee.;
  • 学科 Engineering Chemical.;Engineering System Science.;Engineering Industrial.
  • 学位 Ph.D.
  • 年度 1993
  • 页码 190 p.
  • 总页数 190
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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