GOALI: Operational Reconfigurability of Constrained Moving-Boundary Processes through Agile Motion Planning with Application to Steel Continuous Casting

GOALI：通过敏捷运动规划实现约束移动边界过程的操作可重构性并应用于钢连铸

• 批准号: 1300907
• 负责人: Joseph Bentsman
• 金额: $ 33.32万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-06-15 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1300907&HistoricalAwards=false
• 关键词: GOALI; Operational; Reconfigurability; Constrained; Moving

The research effort supported by this award is aimed at providing operational flexibility of controlled systems with moving boundaries, such as those involving melting and/or solidification, to meet changing production demands. The objective, referred to as motion planning, is a timely generation of commands to the closed loop, the latter being composed of a process coupled to a model-based feedback control law, to guarantee process motions that provide optimal product quality. Focusing on continuous steel casting, the research approach is to start from the improvement of process model and clear delineation of static and dynamic constraints on its behavior and progress to creation of motion planning algorithms that satisfy the constraints. Deliverables include fundamental control-theoretic results, fast optimal motion planning tools for moving boundary systems, software/hardware demonstration and validation on an industrial caster at Nucor Steel, documentation of research results in publications, and engineering student education.If successful, the results of this research will offer widely applicable motion planning tools that rigorously optimize operation of moving boundary processes, providing significant economic and environmental impacts. Example applications include crystal growth, solid and liquid burning, and multiple forms of melting and solidification. For example, a one percent reduction in yield loss in continuous steel casting would save about $150 million per year, while optimizing cooling conditions to conserve just 10% more of the cast steel internal energy would produce $350 million per year savings during reheating. Student researchers will master and broadly disseminate expertise and commercialize the results. The research and educational infrastructure will be significantly enhanced through student involvement, international collaboration, and broad dissemination of knowledge.

该奖项支持的研究工作旨在为具有移动边界的受控系统提供操作灵活性，例如涉及熔化和/或凝固的系统，以满足不断变化的生产需求。被称为运动规划的目标是及时生成闭环的命令，后者由耦合到基于模型的反馈控制律的过程组成，以保证提供最佳产品质量的过程运动。研究思路是以连铸过程为对象，从过程模型的改进出发，明确其行为和过程的静态和动态约束，进而建立满足约束条件的运动规划算法。成果包括基本控制理论成果、用于移动边界系统的快速优化运动规划工具、纽柯钢铁公司工业连铸机上的软件/硬件演示和验证、出版物中的研究成果文档以及工程专业学生教育。如果成功，本研究成果将提供广泛适用的运动规划工具，严格优化移动边界过程的操作，产生重大的经济和环境影响。示例应用包括晶体生长、固体和液体燃烧以及多种形式的熔化和固化。例如，在连续铸钢中，产量损失减少1%每年将节省约1.5亿美元，而优化冷却条件以节省仅10%的铸钢内能，则在再加热期间每年将节省3.5亿美元。学生研究人员将掌握和广泛传播的专业知识和商业化的结果。研究和教育基础设施将通过学生参与，国际合作和知识的广泛传播得到显着增强。