Distributed nonlinear control based on differential dissipativity

基于微分耗散系数的分布式非线性控制

• 批准号: DP180101717
• 负责人: Prof Jie Bao
• 金额: $ 26.79万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180101717
• 关键词: Distributed; nonlinear; control; based; differential

This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that ensures plant-wide stability at any feasible set-points or references and a distributed economic model predictive control approach that coordinates autonomous controllers to achieve plant-wide economic objectives in a self-organising manner. The outcomes of this project are expected to form a process control framework for next-generation smart plants.

该项目旨在研究对智能制造至关重要的过程控制方法，旨在开发一种基于分布式优化的全厂柔性制造的非线性控制方法，该方法可以实现包括生产率和产品规格在内的时变操作目标，以满足动态的市场需求。这包括基于收缩的非线性分布式控制框架和分布式经济模型预测控制方法，前者确保工厂范围内在任何可行设定点或参考点的稳定性，后者协调自主控制器以自组织方式实现工厂范围内的经济目标。该项目的成果有望形成下一代智能电厂的过程控制框架。