Optimal Management of Analytical Redundancy in Reconfigurable Control Systems

ECS-9615956 Wu建议的研究致力于开发新的方法，通过管理分析冗余来增强可重构控制系统的容错性。冗余管理涉及在识别某些故障时决定是否以及如何进行控制重新配置以维持特定的系统性能水平。由于系统和外部信号模型中存在不确定性，执行故障检测和识别(FDI)的处理/记忆能力有限，以及在控制性能方面对故障的定义含糊不清，使得这样的决定变得困难。研究的基本问题从在子系统一级界定的问题到在整个系统一级制定的问题都有。在整个系统的层面上，我们的任务包括找到一种客观评估可靠性的方法，该方法考虑到重新配置操作失败的可能性。因此，需要定义和计算重新配置覆盖率。提出了覆盖率的定义，其形式为与估计的减损参数相关的两个非特异性度量的比率。它明确地将重新配置覆盖与可用的FDI分辨率、所选的控制性能阈值、所选的控制设置以及所使用的排名方法相关联。因此，它提供了一种方法，通过数值和分析方法，探索单个子系统模块的性能与整个系统可靠性之间的关系。在重新配置决策的级别上，我们的任务涉及通过优化管理系统中的分析冗余来形成实现尽可能高的重新配置覆盖率的策略。提出决策实质上是对两类模糊集之间的关系进行排序。一类表示针对每个控制设置评估的控制性能，另一类表示通过FDI方案产生的估计减值参数。为了开发实现这些策略的算法，有必要证明这些表示是可获得和可实现的。还需要搜索最大化覆盖并且易于执行的排名方法。在子系统模块一级，我们的任务涉及得出所需的外国直接投资解决方案。利用识别的减值参数的非特异性度量，提出了FDI解析的定义，揭示了控制子系统模块和FDI子系统模块之间在分析冗余管理方面的一些交互作用。这些关系将在本研究中进一步研究和量化，以便为底层设计，即控制和FDI子系统模块的设计提供更精细的指导方针。迄今将产生的结果适用于有追溯性的或新的控制/外国直接投资设计。从这一点开始，可以在高度综合考虑的标准下进行新的设计。一个类似F-16的飞机模型将被用于底层设计，并通过模拟和分析来验证所提出的新概念。

ECS-9615956 Wu The proposed research is concerned with developing new approaches to enhancing fault tolerance of reconfigurable control systems through management of analytical redundancy. The redundancy management involves a decision, upon the identification of some failures, on whether and how a control reconfiguration should take place in order to maintain a certain system performance level. Such a decision is made difficult by the presence of uncertainties in the system and the exogenous signal models, by the limited processing/memory capability in carrying out failure detection and identification (FDI), and by the vagueness in the definition of a failure in the context of control performance. The underlying issues of the research range from those defined at subsystems level to those formulated at the overall systems level. At the level of overall systems, our task involves finding a way of assessing objectively the reliability that takes into account the likelihood of failed reconfiguration action. Therefore, there is a need to define and compute the reconfiguration coverage. A definition for coverage is proposed that takes the form of a ratio of two nonspecificity measures associated with the estimated impairment parameter. It links explicitly the reconfiguration coverage to the available FDI resolution, the chosen control performance threshold, the selected control settings, and the ranking method used. Therefore, it offers a way to explore, through numerical and analytical means, the relationship between the performance of individual subsystem modules and the reliability of the overall system. At the level of reconfiguration decisions, our task involves forming strategies for achieving the highest possible reconfiguration coverage by optimally managing the analytical redundancy in the system. It is proposed that the decision making amount to ranking the relationships between two classes of fuzzy sets. One class represents the control performance evaluated for every control setting, and the other represents the estimated impairment parameter generated through an FDI scheme. In order to develop algorithms that implement the strategies, it is necessary to show that these representations are obtainable and realizable. It is also necessary to carry out a search for a ranking method that maximizes the coverage, and is simple to execute. At the level of subsystem modules, our task involves deriving the required FDI resolution. A definition of FDI resolution is proposed using the nonspecificity measure of the identified impairment parameter, which has uncovered some interactions between the control subsystem module and the FDI subsystem module, in relation to analytical redundancy management. These relationships are to be further studied and quantified in this research to provide a more refined guideline for the bottom level design, i.e., the design of control and FDI subsystem modules. Results to be produced thus far are applicable to control/FDI designs that are either retrospective or new. New designs under the criteria of highly integrated consideration can be ventured from this point on. An F-16 like aircraft model subject to actuator/surface impairment is to be used for the bottom level design, and also for the verification of the proposed new concepts through simulation and analysis.