GOALI: Distributed Control of Process Systems: An Approach Based on Thermodynamics

GOALI：过程系统的分布式控制：基于热力学的方法

• 批准号: 9726115
• 负责人: Erik Ydstie
• 金额: $ 22.18万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-12-15 至 2000-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9726115&HistoricalAwards=false
• 关键词: GOALI; Distributed; Control; Process; Systems

Abstract - Ydstie - 9726115 Distributed Processing Units (DPU's) pick up information as needed to perform control calculations, local optimization, data reconciliation, filtering and/or dynamic simulation. Processing speed and reliability are high due to parallelism and redundancy - a distributed system can continue to function even if a "stable" DPU goes down. Distributed computation makes it easy to update hardware and software. Members of an engineering team can change process equipment and modify control algorithms in sequence or parallel without loosing stability. Control systems in industry are distributed for reasons of computational efficiency, safety and cost. The PI's plan to develop systematic procedures and computational tools for the synthesis of distributed control systems. The research will address the following problems: (1) how to design distributed control systems; (2) how to perform dynamic simulation in a distributed network of computers; and (3) how to address the interaction between design and control. The broader aim is to develop a theoretically consistent and workable theory for chemical process control which takes into account the process physics in an effective manner.

YDSTIE-9726115分布式处理单元(DPU)根据需要获取信息，以执行控制计算、局部优化、数据协调、过滤和/或动态仿真。由于并行性和冗余性，处理速度和可靠性都很高--即使DPU出现故障，分布式系统也可以继续运行。分布式计算使硬件和软件的更新变得容易。工程团队的成员可以顺序或并行地更换工艺设备和修改控制算法，而不会失去稳定性。由于计算效率、安全性和成本的原因，工业中的控制系统是分布式的。PI计划开发用于综合分布式控制系统的系统程序和计算工具。研究将解决以下问题：(1)如何设计分布式控制系统；(2)如何在分布式计算机网络中进行动态仿真；(3)如何解决设计和控制之间的交互。更广泛的目标是发展一种理论上一致的和可行的化学过程控制理论，以有效的方式考虑过程物理。