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Verified Interval-Based Predictive and Variable-Structure Control for Solid Oxide Fuel Cell Systems: VerIPC-SOFC

经验证的固体氧化物燃料电池系统基于间隔的预测和可变结构控制：VerIPC-SOFC

基本信息

批准号：
181600177
负责人：
Professor Dr.-Ing. Harald Aschemann
金额：
--
依托单位：
Lehrstuhl für Mechatronik
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2010
资助国家：
德国
起止时间：
2009-12-31 至 2017-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/181600177?language=en
关键词：
Verified Interval Based Predictive Variable

项目摘要

Interval methods provide powerful tools for parameter identification, where the development of approaches for real-time capable robust control and state estimation has gained much attention in recent years. Such control and estimation procedures are especially based on variable-structure and model-predictive techniques as well as on sensitivity-based approaches. The applicants at the Chair or Mechatronics at the University of Rostock have already succeeded in demonstrating the efficiency of such novel methods and implementations for selected applications in both simulation and laboratory experiments.In contrast to a laboratory environment, the use of interval methods is not yet widely spread in real-life industrial applications. The most important reason for this fact is the large amount of application-dependent implementations that are necessary if interval methods are to be used for the offline control synthesis and for the online control implementation. Therefore, the first two funding periods of this project were focused on the implementation of general routines for identification, control, and state estimation by means of interval techniques. Here, the focus was on the safe operation of high-temperature fuel cells in non-stationary phases. Based on low-dimensional control-oriented models for the nonlinear dynamics of SOFCs, techniques were derived for a guaranteed parameter identification and subsequently validated with experimental data. This identification, leading to tolerance bounds for the non-measurable quantities due to the application of interval methods, is capable of identifying structural ambiguities in the system's parameterization and of providing this information to a guaranteed stabilizing control design.To implement robust control techniques despite this uncertainty and to detect operating conditions and degradation effects as soon as possible, which are crucial for the overall system lifetime, interval algorithms are developed for the real-time control of uncertain dynamic systems. So far, the focus was on interval-based control techniques for single-input single-output systems, which shall now be generalized to tasks in which multiple input and output variables are of interest.Based on such multi-variable control techniques, it is desired to optimize the overall system efficiency from an energetic point of view. For that purpose, peripheral system components such as the gas preheaters and catalytic converters for the exhaust gas need to be integrated into the dynamic system model as well as in the interval-based control design. All modeling and control procedures shall be verified numerically in simulations and validated experimentally on an available SOFC test rig. To make to developed software routines available to a broad audience and to highlight the way how interval methods can be applied efficiently to real-life control applications, it is planned to publish the developed source codes in a generalized form.

区间方法为参数辨识提供了强有力的工具，近年来，实时鲁棒控制和状态估计方法的发展受到了广泛的关注。这样的控制和估计程序特别是基于可变结构和模型预测技术以及基于灵敏度的方法。罗斯托克大学机电一体化系的申请人已经成功地证明了这种新方法的有效性，并在模拟和实验室实验中为选定的应用程序实施。与实验室环境相比，间隔方法的使用尚未在现实生活中的工业应用中广泛传播。这一事实的最重要的原因是大量的应用程序相关的实现是必要的，如果间隔方法被用于离线控制合成和在线控制实现。因此，该项目的前两个资助期的重点是通过区间技术实现识别、控制和状态估计的一般例程。在这里，重点是高温燃料电池在非稳定阶段的安全运行。基于低维面向控制的模型的非线性动力学的SOFC，技术推导出一个有保证的参数识别，随后与实验数据进行验证。由于应用了区间方法，这种识别导致了不可测量量的公差范围，能够识别系统参数化中的结构模糊性，并将此信息提供给有保证的稳定控制设计。为了实现鲁棒控制技术，尽管存在这种不确定性，并尽快检测操作条件和退化效应，这是至关重要的整个系统的寿命，区间算法的不确定动态系统的实时控制。到目前为止，重点是单输入单输出系统的基于区间的控制技术，现在将其推广到多输入和多输出变量的任务中。基于这种多变量控制技术，希望从能量的角度优化整个系统的效率。为此，需要将外围系统部件，例如用于废气的气体预热器和催化转化器，集成到动态系统模型以及基于区间的控制设计中。所有建模和控制程序应在模拟中进行数值验证，并在可用的SOFC试验台上进行实验验证。为了使开发的软件例程可供广大受众使用，并强调如何将间隔方法有效地应用于实际控制应用，计划以通用形式发布开发的源代码。