双网环境下工业生产过程运行优化控制方法研究

项目名称： 双网环境下工业生产过程运行优化控制方法研究

项目编号： No.61333012

项目类型： 重点项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 高会军

作者单位： 渤海大学

项目金额： 300万元

中文摘要： 为改进产品质量、降低生产成本、提高生产效率和经济效益、减少资源消耗和环境污染、增强企业竞争力，工业生产过程综合生产指标的运行优化控制技术受到了工业界与学术界的普遍重视与关注。本项目以实现我国工业生产过程综合指标优化为目标，结合网络化工业生产的特点与要求，通过研究设备与监控双网环境下系统数据信息的传输机理以及数据的预测与补偿方案，建立运行控制指标评价模型，提出双网环境下工业生产过程运行优化控制系统的结构框架，结合双网环境下系统综合性能要求以及运行指标评价模型，设计指标跟踪优化控制算法，从而实现双网环境下工业生产过程的一体化优化运行控制，并结合大型冶金、石化工业生产过程开展应用研究。本项目致力于解决双网环境下工业生产过程运行优化控制方面的关键科学问题，为我国工业生产过程运行控制提供系统设计方法、高性能的控制与优化核心算法，使我国工业生产过程运行控制研究处于国际先进水平。

中文关键词： 工业生产过程;网络化控制;生产过程控制;多速率控制;运行优化控制

英文摘要： To improve product quality, enhance production efficiency and economy benefits, and reduce costs, consumptions and environment pollutions, the operational optimal control of synthetical production indices of industrial production processes has attracted great attention from both academic and industrial communities over the years. On the other hand, due to the requirement of large-scale data transmission and remote control, communication networks have been introduced into the modern industrial production process control systems. However, there are also some limitations induced by the very nature of communication networks such as transmission delays, packet dropouts, quantization errors, data rate constraints. This project will investigate the operational optimal control problem of industrial production processes under a novel double layer network-based environment. Firstly, the network-induced limitations will be characterized and data prediction and compensation issues will be also studied. Secondly, different kinds of production index evaluation models will be built to characterize the quality, yield, costs and consumptions. Then a new framework for double layer network-based operational optimal control of industrial production processes, as well as the corresponding optimal tracking control methodologies, will be proposed. Furthermore, we will select a number of benchmark industrial production processes such as metallurgical and petrochemical processes to evaluate the effectiveness and performance of the proposed operational optimal control design approaches. Strengths and weaknesses of the proposed approaches will be critically assessed. The outcome of this project is expected to enrich the theoretical foundation on double layer network-based operational optimal control of complex industrial production processes, and, in turn, the proposed approaches will provide control engineers in practice with more solid analysis and synthesis tools.

英文关键词： industrial production process;network-based control;production process control;multi-rate control;operational optimal control