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Studies on Optimization Control of Networked Systems based on Local Models

基于局部模型的网络系统优化控制研究

基本信息

批准号：
16560394
负责人：
UCHIDA Kenko
金额：
$ 1.15万
依托单位：
Waseda University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2004
资助国家：
日本
起止时间：
2004 至 2005
项目状态：
已结题

项目摘要

We studied methods to control complex/large/networked systems based on local/uncertain models. We considered the cases where locality of models in space and/or time is assumed and time delays exist in the channels between subsystems. For locality in space and nonlinearity, we proposed an approach using analysis and synthesis techniques of linear parameter varying (LPV) systems ; for locality in time, we proposed a model predictive control approach ; for locality in both space and time, we proposed an approach based on Just-In-Time(JIT) modeling and model predictive control scheme. These approaches are developed through solving two types of control problems for complex/large/networked systems. First, we extended the known method for LPV systems to electro-hydraulic servosystems, which contain nonlinear elements, uncertainties and time delays, and designed a gain scheduled H-infinity controller. Second, we focused our attention to blast furnace which presents very complicated/nonlinear physical phenomena and is difficult to built models, and proposed a new online modeling and predictive control scheme based on a large scale database consisting of blast furnace process data. As for time delays, we conquered this issue by using input/state/output prediction on delay time interval based on models and by transforming the control problems for time delay systems to the ones for LPV systems, which leads to solving some parameter dependent linear matrix inequalities (LMIs). We also discussed a congestion control of nonlinear networks including time delay based on control theory.

我们研究了基于局部/不确定模型控制复杂/大型/网络系统的方法。我们考虑了假设模型在空间和/或时间上的局部性并且子系统之间的通道中存在时间延迟的情况。针对空间局域性和非线性，我们提出了一种利用线性参数变化（LPV）系统的分析和综合技术的方法；针对时间局部性，我们提出了模型预测控制方法；针对空间和时间上的局部性，我们提出了一种基于即时（JIT）建模和模型预测控制方案的方法。这些方法是通过解决复杂/大型/网络系统的两类控制问题而开发的。首先，我们将LPV系统的已知方法扩展到包含非线性元件、不确定性和时滞的电液伺服系统，并设计了增益调度H无穷控制器。其次，我们将注意力集中在高炉上，这种物理现象非常复杂/非线性且难以建立模型，并提出了一种新的基于高炉过程数据组成的大规模数据库的在线建模和预测控制方案。对于时滞，我们通过基于模型对延迟时间间隔进行输入/状态/输出预测，并将时滞系统的控制问题转化为LPV系统的控制问题，从而解决了一些参数依赖的线性矩阵不等式（LMI），从而解决了这个问题。我们还讨论了基于控制理论的包括时延在内的非线性网络的拥塞控制。