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Optimization of sampled-data systems with finite-dimensional linear continuousperiodic process and delay

具有有限维线性连续周期过程和延迟的采样数据系统的优化

基本信息

批准号：
316189657
负责人：
Professor Dr.-Ing. Torsten Jeinsch, since 11/2016
金额：
--
依托单位：
Institut für Automatisierungstechnik
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2016
资助国家：
德国
起止时间：
2015-12-31 至 2021-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/316189657?language=en
关键词：
Optimization sampled data systems finite

项目摘要

The project concerns the development of methods for the solution of H2 and L2 optimization problems for linear sampled-data systems. The systems consist of a linear continuous periodic multi-input multi-output (MIMO) process with arbitrary pure delays, and a MIMO controller, which is realized as a program on a digital processor. The connection between the continuous and digital parts is accomplished by an ideal analogue-to-digital converter and a zero-order hold with free selectable shape of the pulses. The sampling period Ts is synchronized with the period of the continuous process T, such that both commensurate. Let N>1 be a natural number. Then the following cases should be investigated: Ts=T (equally clocked), Ts=T/N (interpolating), and Ts=NT (decimating).The procedures should yield exact solutions and they also have to consider the intersample behavior. Despite of the theoretical and practical importance of the named class of problems, there does not exist systematic literature about it. The reason for that could be the absence of an appropriate mathematical tool.The chosen approach for the investigations is based on the parametric transfer matrix (PTM) concept. In preceding research projects, the applicant has refined this concept in theoretical directions, and in cooperation with his partners he also successfully applied it to various sampled-data control problems. Alternative approaches are not known, which are able to provide exact solutions, when all three difficulties are present:continuous periodic process + delay + sampling.On the way to the solution of the above formulated H2 and L2 optimization problems, the following steps have to be taken:* Floquet-Lyapunov transformation for extracting the dynamics and hosting them in the time-invariant part* Establishing the PTM for the open chain, and then for the closed loop* Construction of the parametrized set of all stabilizing controllers* Construction of the H2 norm and of the cost functional* Extension and application of the Wiener-Hopf method for the analytical solution* Programming of software tools and their integration into the Matlab-Toolbox DirectSD

该项目涉及线性采样数据系统的H2和L2优化问题的解决方案的方法的发展。该系统包括一个线性连续周期多输入多输出（MIMO）过程与任意纯滞后，和MIMO控制器，这是实现为一个程序上的数字处理器。连续部分和数字部分之间的连接是由一个理想的模数转换器和一个零阶保持与自由选择的脉冲形状。采样周期Ts与连续过程T的周期同步，使得两者相称。设N>1为自然数。然后应研究以下情况：Ts=T（等时钟），Ts=T/N（插值）和Ts=NT（抽取）。这些程序应产生精确的解，并且还必须考虑样本间的行为。尽管这类问题具有重要的理论和实践意义，但目前还没有系统的文献对其进行研究，其原因可能是缺乏合适的数学工具，本文选择的研究方法是基于参数传递矩阵（PTM）的概念。在之前的研究项目中，申请人在理论方向上完善了这一概念，并与合作伙伴合作，成功地将其应用于各种采样数据控制问题。当所有三个困难都存在时，能够提供精确解的替代方法是未知的：连续周期过程+延迟+采样。在求解上述公式化的H2和L2优化问题的过程中，必须采取以下步骤：* Floquet-Lyapunov变换用于提取动态并将其托管在时不变部分 * 建立开链的PTM，然后对于闭环系统 * 构造所有镇定控制器的参数化集合 * 构造H2范数和代价泛函 * Wiener-Hopf方法的推广和应用 * 软件工具的编程及其与Matlab-DirectSD的集成