基于低复杂度预测控制的网络控制系统理论与应用研究

项目名称： 基于低复杂度预测控制的网络控制系统理论与应用研究

项目编号： No.61203025

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 自动化学科

项目作者： 石厅

作者单位： 杭州电子科技大学

项目金额： 25万元

中文摘要： 网络控制系统（NCS）具有灵活性和可扩展性，低安装成本，易于维护等优点，是一个非常具有前景和挑战性的研究领域。尽管有许多优点，通信网络的引入带来很多新的问题。例如，NCS中存在网络时滞、数据包丢失、时间不同步等等。很多方法在处理这些问题的时候，为了对网络中的时滞与丢包进行精确建模，必须对其作一些比较严格的限制。这些方法，未能有效利用NCS数据传输的特点，无法对系统中存在的时滞和丢包进行补偿。利用网络中以包为单位进行数据传输的特点，以及模型预测控制（MPC）的预测特性可以有效的补偿系统的时滞和丢包。但是MPC的在线计算量大，仅仅适用于慢变系统。近年来发展起来的低复杂度MPC可以降低计算复杂度，减少在线计算时间，但是目前的算法均基于线性系统，不能直接应用于NCS中。 针对NCS，采用低复杂度MPC算法，对网络时滞、丢包以及输入饱和进行研究，有望解决上述问题。本项目具有重要的理论和应用价值。

中文关键词： 网络控制系统；预测控制；鲁棒控制；输入约束；采样

英文摘要： Flexibility, reconfigurability, low installation cost and ease of maintenances are some of the advantages of networked control systems (NCS), which have been recognized as a very challenging and promising research field. While possessing some well-known advantages, the architectures of NCS can give rise to several common control issues, such as network delay, data dropout, and mis-synchronization etc. To solve these problems, various methods have been developed. In order to model the time delay and data loss accurately, however, these methods have put some strict assumptions on NCSs. Most of these methods ignores NCS feature and cannot compensate for the time delay and data dropout. One interesting feature of modern communication is that data is sent in large packets. In this context, it makes sense to send signal predictions, which are calculated from model predictive control (MPC) method at the transmission side, to compensate for time delays and data-dropouts. The big drawback of the MPC is the formidable on-line computational effort, which limits its applicability to relatively slow dynamics. In recent years, the low complexity MPC is developed, which can reduce the on-line computational burden. But the developed complexity MPC concerns with linear systems, which cannot directly apply to NCS. This project i

英文关键词： networked control systems；model predictive control；robust control；input constraints；sampled-data