Adaptive optimization and estimation of complex dynamical systems

复杂动力系统的自适应优化和估计

• 批准号: 203291-2009
• 负责人: Guay, Martin
• 金额: $ 4.01万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=514099
• 关键词: Adaptive; optimization; estimation; complex; dynamical

Global market pressures, environmental constraints and energy costs are having a significant impact on the management of companies in many sectors of the Canadian economy including chemical and petrochemical plants. Canadian companies must consider a holistic approach that combines science and technology into business strategies for producing services and products for a dynamic world market. These sudden and drastic changes in management culture have led to the development of alternative strategies that offer the flexibility required to handle economic pressures while reducing emissions and energy costs. Such an integrated approach to decision-making has pushed control engineers to think globally about plant behavior and to consider the full complexity of plant operation. The objective of this project is to develop process control techniques that are suitable for application in complex systems. Complex processes pose a number of technical challenges. They cannot be handled directly by the engineering tools that are commonly used to solve standard process control problems. In this research program, we will develop techniques to reduce the complexity of large systems by producing simpler descriptions that retain the essential features of complex systems. These simple descriptions provide a manageable platform to design control and monitoring systems for complex dynamic processes. The proposed research program will provide innovative techniques for the synthesis of estimation and control systems that allow the implementation of global objectives of the complex system architecture while providing maximum performance of each of its components. The research program tackles three specific areas of applications that address specific features of complex systems. The first area of application considers fluid flow estimation in building systems and fuel cell systems. The second area of application considers the design of control architectures suitable for large-scale system control such as chemical plants. The last area of application considers the design of drug delivery control systems.

全球市场压力、环境限制和能源成本正在对加拿大经济许多部门的公司管理产生重大影响，包括化学和石化工厂。加拿大公司必须考虑采取一种全面的办法，将科学和技术结合到为充满活力的世界市场生产服务和产品的商业战略中。管理文化的这些突然和剧烈的变化导致了替代战略的发展，这些战略提供了应对经济压力所需的灵活性，同时减少了排放和能源成本。这种集成的决策方法促使控制工程师从全局角度考虑工厂行为，并考虑工厂运行的全部复杂性。该项目的目标是开发适用于复杂系统的过程控制技术。复杂的流程带来了许多技术挑战。它们不能直接由通常用于解决标准过程控制问题的工程工具来处理。在这项研究计划中，我们将开发技术，以减少大型系统的复杂性，通过生产更简单的描述，保留复杂系统的基本特征。这些简单的描述提供了一个可管理的平台来设计复杂动态过程的控制和监控系统。拟议的研究计划将提供创新技术的估计和控制系统的合成，使复杂的系统架构的全球目标的实施，同时提供其每个组件的最大性能。该研究计划解决了三个特定的应用领域，解决了复杂系统的特定功能。第一个应用领域考虑建筑系统和燃料电池系统中的流体流量估计。 第二个应用领域考虑了适合于大型系统控制（如化工厂）的控制架构设计。最后一个应用领域考虑药物递送控制系统的设计。