Airbus Fly-By-Wire: A Total Approach To Dependability

Traverse, Pascal; Lacaze, Isabelle; Souyris, Jean

doi:10.1007/978-1-4020-8157-6_18

Cited by 101 publications

(62 citation statements)

References 6 publications

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“…This results in a gap between the current know-how in FDD and the industrial practice implemented aboard the planes (Goupil, 2011). Two main reasons can explain this gap: the low TRL of the academic works, and the certifications issues involved in A/C systems (Traverse et al, 2004). That is why the recent projects commonly led by industry and academy on those topics, e.g., ADDSAFE (addsafe.deimos-space.com) and RECON-FIGURE (reconfigure.deimos-space.com), involve functional engineering simulators to address more realistic implementation issues.…”

Section: G Hardier Et Almentioning

confidence: 99%

“…The development of electrical flight control systems (FCSs), known as fly-by-wire (FBW), and the increasing levels of automation have contributed to the improvement of the safety of civil aircraft. These technological steps have allowed new means for detecting, protecting and optimizing A/C guidance and control to be developed (Traverse et al, 2004). However, this higher complexity requires the A/C states to be available and reliable, some of them becoming key parameters to ensure a nominal behavior of the FCS, such as the angle of attack (AoA) and the calibrated air speed (CAS).…”

mentioning

confidence: 99%

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Model–Based Techniques for Virtual Sensing of Longitudinal Flight Parameters

Seren

Ezerzere

Hardier

2015

International Journal of Applied Mathematics and Computer Science

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Introduction of fly-by-wire and increasing levels of automation significantly improve the safety of civil aircraft, and result in advanced capabilities for detecting, protecting and optimizing A/C guidance and control. However, this higher complexity requires the availability of some key flight parameters to be extended. Hence, the monitoring and consolidation of those signals is a significant issue, usually achieved via many functionally redundant sensors to extend the way those parameters are measured. This solution penalizes the overall system performance in terms of weight, maintenance, and so on. Other alternatives rely on signal processing or model-based techniques that make a global use of all or part of the sensor data available, supplemented by a model-based simulation of the flight mechanics. That processing achieves real-time estimates of the critical parameters and yields dissimilar signals. Filtered and consolidated information is delivered in unfaulty conditions by estimating an extended state vector, including wind components, and can replace failed signals in degraded conditions. Accordingly, this paper describes two model-based approaches allowing the longitudinal flight parameters of a civil A/C to be estimated on-line. Results are displayed to evaluate the performances in different simulated and real flight conditions, including realistic external disturbances and modeling errors.

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Section: G Hardier Et Almentioning

confidence: 99%

mentioning

confidence: 99%

Model–Based Techniques for Virtual Sensing of Longitudinal Flight Parameters

Seren

Ezerzere

Hardier

2015

International Journal of Applied Mathematics and Computer Science

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“…The developed components are functionally integrated (transformed) and evaluated in the simulation environment. For an example one could look at the avionics industry [5,8,21].…”

Section: B Simulations In the Develop And Test Phasementioning

confidence: 99%

Enhanced simulation performance through parallelization using a synthetic and a real-world simulation model

Baumann¹,

Pfitzinger²,

Macos

et al. 2015

Annals of Computer Science and Information Systems

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“…The authors are personally aware of cases in aeronautics [23], nuclear, automation, and rail industries where the LTTA architecture with limited clock deviations has been used with success. It is indeed the architecture of choice for railway systems, in which tracks are used as the communication medium and computing systems are carried by the trains and work autonomously.…”

Section: Introductionmentioning

confidence: 99%

Loosely Time-Triggered Architectures

Baudart

Benveniste

Bourke

2016

ACM Trans. Embed. Comput. Syst.

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Cyber-Physical Systems require distributed architectures to support safety critical real-time control. Hermann Kopetz' Time-Triggered Architecture (TTA) has been proposed as both an architecture and a comprehensive paradigm for systems architecture, for such systems. TTA offers the programmer a logical discrete time compliant with synchronous programming, together with timing bounds. A clock synchronization protocol is required, unless the local clocks used themselves provide the recquired accuracy. To relax the strict requirements on synchronization imposed by TTA, Loosely Time-Triggered Architectures (LTTA) have been proposed. In LTTA, computation and communication units are all triggered by autonomous, unsynchronized, clocks. Communication media act as shared memories between writers and readers and communication is non blocking. This is at the price of communication artifacts (such as duplication or loss of data), which must be compensated for by using some "LTTA protocol". In this paper we pursue our previous work by providing a unified presentation of the two variants of LTTA (token-and time-based), with simplified analyses. We compare these two variants regarding performance and robustness and we provide ways to combine them.This report was prepared for a lecture in Gérard Berry's seminar series at the Collège de France, March 5, 2014; it is a corrected version of [6], which appeared at Emsoft'2010. It is dedicated to our close friend Paul Caspi who died in April 2012.

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Airbus Fly-By-Wire: A Total Approach To Dependability

Cited by 101 publications

References 6 publications

Model–Based Techniques for Virtual Sensing of Longitudinal Flight Parameters

Model–Based Techniques for Virtual Sensing of Longitudinal Flight Parameters

Enhanced simulation performance through parallelization using a synthetic and a real-world simulation model

Loosely Time-Triggered Architectures

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