Distributed Control and Estimation of Sustainable Chemical Process Systems

可持续化学过程系统的分布式控制和估计

• 批准号: RGPIN-2017-04198
• 负责人: Hudon, Nicolas
• 金额: $ 1.6万
• 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: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=678662
• 关键词: Distributed; Control; Estimation; Sustainable; Chemical

Due to growing financial and environmental pressures, design and operation of sustainable processes are central challenges to chemical engineering science and practice. Renewable energy production and effluent treatment processes need to be operated in a consistent manner to meet performance and environmental objectives and ensure the viability of Canadian industries. As sustainable processes are highly integrated to reduce material and energy consumption, these processes are complex networks of interconnected sub-processes. Classical control strategies are limited for integrated processes as their inherent complexity renders analysis and control design computationally intractable. ******The novelty of this research consists in using physics-based models to extract essential dynamical features driving a given chemical process unit and measure its impact on plant-wide operation. It was demonstrated in previous research that it is possible to improve distributed control design for interconnected chemical sub-processes exchanging mass and energy using structured models. The objective of this research is to generalize this approach to address challenges impeding optimal operation of sustainable process systems. This research will focus on critical problems hindering the operation of sustainable processes. In particular, the proposed framework will measure the propagation of uncertainties and disturbances in interconnected systems. New robust control and on-line estimation methodologies will be developed to mitigate the effects of uncertainties and external disturbances on process performance. This research will have impact on the operation of viable sustainable chemical processes in the Canadian industry.******Through this research, high qualified personnel (HQP) will develop nonlinear controllers and soft-sensors for process applications. This research will yield to significant theoretical results in the fields of distributed nonlinear process control; in particular, for the control of uncertain, time-varying, and interconnected systems. This research will have impacts on nonlinear process control theory and practice. HQP will demonstrate the outcomes of this research program on practical applications. In collaboration with industrial partners involved with sustainable chemical processes operation, the distributed control algorithms resulting from this research program will be implemented on physical processes. HQP trained through this research program will develop theoretical and practical knowledge in process control. The products of this research program will be disseminated through publications and direct industrial applications, ensuring maximal benefits for HQP and industrial partners. The developed model-based control techniques will support the development of a Canadian sustainable chemical industry.

由于日益增长的资金和环境压力，可持续工艺的设计和运行是化学工程科学和实践的核心挑战。可再生能源生产和废水处理过程需要以一致的方式运行，以满足性能和环境目标，并确保加拿大工业的生存能力。由于可持续进程高度整合以减少材料和能源消耗，这些进程是相互关联的子进程的复杂网络。传统的控制策略对于集成过程是有限的，因为它们固有的复杂性使得分析和控制设计在计算上是困难的。*这项研究的新颖性在于使用基于物理的模型来提取驱动给定化学过程单元的基本动力学特征，并测量其对工厂范围操作的影响。前人的研究表明，使用结构化模型可以改进相互关联的质量和能量交换的化学子过程的分布式控制设计。这项研究的目的是推广这一方法，以应对阻碍可持续过程系统最佳运行的挑战。这项研究将侧重于阻碍可持续进程运作的关键问题。特别是，所提出的框架将测量互联系统中不确定性和扰动的传播。将开发新的鲁棒控制和在线估计方法，以减轻不确定性和外部干扰对过程性能的影响。这项研究将对加拿大工业中可行的可持续化工过程的运行产生影响。*通过这项研究，高素质人员(HQP)将为过程应用开发非线性控制器和软测量。这项研究将在分布式非线性过程控制领域，特别是对于不确定、时变和关联系统的控制，产生重要的理论结果。该研究将对非线性过程控制的理论和实践产生一定的影响。HQP将展示这一研究计划在实际应用中的成果。与参与可持续化学过程操作的工业合作伙伴合作，该研究计划产生的分布式控制算法将在物理过程中实施。通过这个研究项目培训的HQP将发展过程控制的理论和实践知识。该研究计划的产品将通过出版物和直接的工业应用进行传播，确保HQP和工业合作伙伴获得最大利益。开发的基于模型的控制技术将支持加拿大可持续化学工业的发展。