Robust optimization and robust nonlinear predictive control of chemical processes

化学过程的鲁棒优化和鲁棒非线性预测控制

• 批准号: 138374-2009
• 负责人: Budman, Hector
• 金额: $ 2.91万
• 依托单位: University of Waterloo
• 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=522410
• 关键词: Robust; optimization; robust; nonlinear; predictive

Optimization and control of chemical processes have become essential activities necessary to meet tighter environmental regulations and to make profits in the face of increasing energy costs and increasing globalization-related competition. The key requisite for achieving useful optimization and control solutions is the availability of process models that correctly describe the effect of decision variables, in the case of optimization, or control actions, in the case of control, on product quality related variables. However, models are never accurate so efficient optimization and control strategies must be designed to be robust or tolerant to model errors.

优化和控制化学过程已成为满足更严格的环境法规所必需的基本活动，并在面临不断增加的能源成本和与全球化有关的日益激烈的竞争时获得利润。实现有用的优化和控制解决方案的关键先决条件是过程模型的可用性，这些模型正确描述了决策变量（在优化的情况下）或控制措施（在控制的情况下）对产品质量相关变量的影响。然而，模型从来都不是精确的，因此有效的优化和控制策略必须被设计为对模型误差具有鲁棒性或容忍性。