Real-Time Identification of Aircraft Physical Models for Fault Tolerant Flight Control

Chu, Ping; Mulder, J.A.; Breeman, J.H.

doi:10.1007/978-3-642-11690-2_4

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…However, due to the significant changes that may take place as a consequence of failure, the aerodynamic model of the aircraft will obviously be different from the nominal one. In order to enhance the capabilities of automatic flight control systems, failures will have to be detected and identified on board during the flight in real-time (Chu et al, 2010).…”

Section: Increasing Validity By Fault-tolerant Techniquesmentioning

confidence: 99%

From Validation of Medical Devices towards Validation of Adaptive Cyber-Physical Systems

Tavčar

Duhovnik

Horváth

2020

JID

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Conventionally, designing of a technical system is completed in the product development phase in terms of all details and aspects. This can be done if the expected behavior and the conditions of operation are known in advance and can be validated before the product is launched on the market. Validation is typically based on a predictive analysis or simulation of the designed operation. However, this contradicts with the case of smart systems, such as smart cyber-physical systems (CPSs), which self-manage their operation or at least a part of it. Being able to adapt at run-time and evolve over time, smart CPSs cannot be validated using conventional deterministic approaches. This is especially true for smart CPSs used as instrumentation in the medical field. This gave the stimulation of our background research, the results of which are concisely summarized and critically concluded in this paper. The literature has been found fairly narrow in terms of novel validation approaches for self-managing smart systems. The main finding is that the tasks of operational and behavioral validation should be shared among the system designers and the designed systems. Designers need prognostic approaches, while systems need to construct validation plans and execute them at run-time. This needs validation-specific functionalities and context dependent mechanisms such as run-time validation frameworks or meta-models, objective-sensitive self-monitoring mechanisms, self-constraining and self-supporting mechanisms, and other enablers. Extensive foundational research and system prototype testing are deemed to be indispensable. To make the first small step in this direction, this paper proposes a concept for validation of smart medical CPSs. This relies on the following hypothesis: If a system has freedom for self-adaptation, then it should also be equipped with selfcontrol mechanism, meta-knowledge and a supervisory controller. It all together enables a purpose-and context dependent semantic reasoning about the operational and behavioral objectives. The paper suggests a number of topics for future research towards a run-time validation engine.

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Section: Increasing Validity By Fault-tolerant Techniquesmentioning

confidence: 99%

From Validation of Medical Devices towards Validation of Adaptive Cyber-Physical Systems

Tavčar

Duhovnik

Horváth

2020

JID

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“…The model-based fault detection, isolation, and reconfiguration method is divided into the fault detection and isolation step, and the controller reconfiguration step [61]. The "Golden Rules" to design a fault-tolerant aircraft include: hardware redundancy, monitoring of flight control elements in real-time, reconfiguration in case of failure, dissimilarity, installation segregation, and robustness of software and system equipment [62], [63].…”

Section: B Run-time Control and Middlewarementioning

confidence: 99%

A Review of the Principles of Designing Smart Cyber-Physical Systems for Run-Time Adaptation: Learned Lessons and Open Issues

Tavčar

Horváth

2019

IEEE Trans. Syst. Man Cybern, Syst.

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Smart cyber-physical systems (S-CPSs) are complex engineered systems empowered by cyber-physical computing and equipped with the capability of reasoning, learning, adapting, and evolving. As an outcome of data-driven dynamic computing, reasoning capabilities, and the run-time obtained own knowledge, nonlinear and emergent behavior of S-CPSs whilst in operation is an open issue, not experienced in the case of conventional technical systems. This paper analyzes the technical issues of run-time operation and emergent behavior of S-CPSs, reviews the current understanding and state of advancement in designing S-CPSs for run-time, explores the paradox, and issues of designing for runtime adaptation, and synthesizes some general principles that can be taken into consideration when addressing the challenges, first of all, in the context of advanced manufacturing systems. This paper introduces four levels of CPSs according to reasoning capabilities and adaptation freedom of systems, and recognizes the paradox that a system with a higher level of freedom requires a higher level of self-control and resource management according to the overall objective of operation. Specific and common design principles are presented and critically assessed for each advancement level of CPSs. The principles synthesized by the authors provide only a partial fulfillment of the generic need. The planned future research addresses these issues and proposes (largely implementation and application independent) genuine principles for system developers.

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Vision-Based Precision Approach and Landing for Advanced Air Mobility

Kawamura

Kannan

Lombaerts

et al. 2022

AIAA SCITECH 2022 Forum

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Real-Time Identification of Aircraft Physical Models for Fault Tolerant Flight Control

Cited by 4 publications

References 11 publications

From Validation of Medical Devices towards Validation of Adaptive Cyber-Physical Systems

From Validation of Medical Devices towards Validation of Adaptive Cyber-Physical Systems

A Review of the Principles of Designing Smart Cyber-Physical Systems for Run-Time Adaptation: Learned Lessons and Open Issues

Vision-Based Precision Approach and Landing for Advanced Air Mobility

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