Distributed moving horizon estimation and cooperative predictive control

分布式移动视界估计与协同预测控制

• 批准号: 435767-2013
• 负责人: Liu, Jinfeng
• 金额: $ 1.97万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=533306
• 关键词: Distributed; moving; horizon; estimation; cooperative

Because of increasing global competition and the pursuit of economic profit, large-scale complex processes are becoming more and more common in modern manufacturing industries. A large-scale complex process is composed of multiple interconnected units that are tightly integrated through material, energy and information flows. The smooth operation of modern manufacturing processes highly depends on state estimation and process control systems. A state estimation system provides estimates of process variables that can not be easily measured. A process control system takes advantage of the estimates of process variables to drive or maintain the process at desired operating points in an automatic fashion.

由于全球竞争的增加和追求经济利润，大规模的复杂过程在现代制造业中变得越来越普遍。大规模的复杂过程由多个通过材料，能量和信息流紧密整合的互连单元组成。现代制造过程的平稳运行很大程度上取决于状态估计和过程控制系统。状态估计系统提供了无法轻易测量的过程变量的估计值。过程控制系统利用过程变量的估计值以自动方式驱动或维护所需操作点的过程。