Cooperative Distributed Model Predictive Control

工业物联网（IIoT）为过程操作员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。协同分布式模型预测控制是由Spiro控制开发的一种技术，旨在管理分散的系统，并且可以在面对干扰时稳定和优化具有许多操纵和控制变量的过程。在分布式设计中使用多个控制代理，而不是使用单个集中式解决方案。这些控制代理以合作的方式进行操作，以实现一个共享的目标函数，该目标函数接近全局最优，即使存在显著的相互作用。该技术有潜力利用IIoT连接的力量，提供强大的系统范围控制，并具有显著的运营优势。此外，它具有简单的模块化设计的优势，并利用现有的控制标准和基础设施。除了优化优势外，优势还包括解决方案的可扩展性，以及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。

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.