Cooperative Distributed Model Predictive Control

协作分布式模型预测控制

• 批准号: 830033
• 金额: $ 127.42万
• 依托单位: SPIRO CONTROL LTD
• 依托单位国家: 英国
• 项目类别: Innovation Loans
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=830033
• 关键词: Cooperative; Distributed; Model; Predictive; Control

The Industrial Internet of Things (IIoT) offers new opportunities for process operators to improve efficiencies, the development of open, secure, and interoperable systems architectures is key to delivering that potential. Cooperative Distributed Model Predictive Control is a technology being developed by Spiro Control designed to manage dispersed systems, and can stabilize and optimize a process having many manipulated and controlled variables in the face of disturbances. Rather than using a single, centralized solution, multiple control agents are used in a distributed design. These control agents operate in a cooperative manner to achieve a shared objective function which approaches the global optimum even when significant interactions are present. The technology has the potential to harness the power of IIoT connectivity to deliver robust system wide control with significant operational benefits. Additionally, it has the advantage of a simple, modular design and utilizes existing control standards and infrastructure. In addition to optimisation benefits, advantages include scalability of the solution, and improved resilience and reduced complexity over centralised optimisation. The focus of our project is further development and commercialisation of this technology.

工业物联网（IIoT）为流程运营商提供了提高效率的新机会，开发开放、安全和可互操作的系统架构是实现这一潜力的关键。协作分布式模型预测控制是Spiro Control公司开发的一项技术，用于管理分散系统，可以在面对干扰时稳定和优化具有许多被操纵和被控制变量的过程。在分布式设计中使用多个控制代理，而不是使用单一的集中式解决方案。这些控制代理以合作的方式运作，以实现一个共享的目标函数，即使存在显著的相互作用，也接近全局最优。该技术有潜力利用工业物联网连接的力量，提供强大的系统范围控制，并具有显著的运营效益。此外，它还具有简单、模块化设计的优点，并利用了现有的控制标准和基础设施。除了优化方面的好处之外，其优势还包括解决方案的可伸缩性，以及与集中式优化相比提高的弹性和降低的复杂性。我们项目的重点是进一步开发和商业化这项技术。