多通道不确定系统的网络化预测控制

项目名称： 多通道不确定系统的网络化预测控制

项目编号： No.61304040

项目类型： 青年科学基金项目

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： 宋洪波

作者单位： 浙江财经学院

项目金额： 22万元

中文摘要： 网络化控制系统是近十年来国际控制界的热点研究课题之一。时延和丢包是降低闭环系统性能甚至导致失稳的主要原因，网络化预测控制（NPC）方法作为一种新型的主动补偿网络时延和丢包的方法，取得了相当好的控制效果。然而，在处理网络化控制中对象模型不确定性的问题上，现有的NPC方法还存在一些的不足，本项目从两个角度着手提高闭环NPC系统的性能。一是提出在不确定域内定义多个名义模型，并利用实时信息选取名义模型进行预测的思想以提高预测精确程度，二是基于滚动优化的思想进行动态优化控制器的设计以提高闭环系统的鲁棒性。进而，将该思想推广到更为一般的多通道网络化控制系统中，通过仿真和实验来验证所设计算法的有效性和实用性，最终形成一套处理网络化控制系统中模型不确定性和多通道问题的NPC算法和稳定性分析准则。本项目将会在NPC方法上取得一系列创新性的研究结果，从而推动和促进NPC在理论和实际应用中的发展和完善。

中文关键词： 网络化控制系统；网络化预测控制方法；分布式预测；模型不确定性；多传输通道

英文摘要： In the last decade, networked control systems (NCSs) has been a hot research topic of control community. Delay and packet dropout are the two main issues that degrade the system performance or cause instability. As a novel control method proposed to handle the delay and packet dropout, networked predictive control (NPC) achieves satisfactory control performance. However,NPC has some disadvantages with regard to model uncertainties. The proposed project aims to improve the performance of the closed-loop NPC system with model uncertainty from two aspects. The first one is to define multiple models in the whole uncertain area and then select the nominal model according the real time information in order to improve the prediction accuracy. The second one is to design dynamic controllers to improve the robustness of the closed-loop systems. Furthermore, the idea is extened to NCSs with multiple channels, which is more common in practical systems. Finally, the effectiveness and usefulness of the proposed methods are tested through simulation and practical experiments. The proposed project will achieve some novel research results with respect to the model uncertainty and multiple channles in NPC and thus promote the developments and applications of NPC in both theory and practice.

英文关键词： networked control systems；networked predictive control method；distributed prediction；model uncertainty；multiple transmission channels