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非线性控制方法，用于全厂柔性制造，可以实现包括生产率和产品规格在内的时变操作目标，以满足动态市场的需求需求。这包括基于收缩的非线性分布式控制框架，可确保在任何可行的设定点或参考值下的全厂稳定性，以及分布式经济模型预测控制方法，可协调自主控制器以自组织方式实现全厂经济目标。该项目的成果预计将形成下一代智能工厂的过程控制框架。