Fault Detection for Deep Space Satellites

Williamson, Walton R.; Speyer, Jason L.; Dang, Vu T.; Sharp, James

doi:10.2514/6.2008-7475

Cited by 2 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consider a deep-space satellite with 16 thrusters (organized in 4 sets), similar to the one presented by Williamson et al (2009) or Patton et al (2010). Its general shape is that of a cube with side length 2 m. Figure 1 summarizes the simulation of the closed-loop control of the satellite.…”

Section: Simulationmentioning

confidence: 99%

Robust automatic tuning of diagnosis methods via an efficient use of costly simulations

Marzat

Walter

Damongeot

et al. 2012

IFAC Proceedings Volumes

View full text Add to dashboard Cite

The robust tuning methodology developed in this paper aims at adjusting automatically the hyperparameters of fault-diagnosis procedures for complex case studies. The strategy should make an efficient use of computer simulations of these case studies, which will usually be computationally expensive. To this end, Kriging-based optimization is called upon. Robustness to environmental disturbances is achieved by continuous minimax optimization, and handled through an iterative relaxation procedure. This strategy is applied to the automatic tuning of a model-based fault-diagnosis scheme for a realistic aerospace application.

show abstract

Section: Simulationmentioning

confidence: 99%

Robust automatic tuning of diagnosis methods via an efficient use of costly simulations

Marzat

Walter

Damongeot

et al. 2012

IFAC Proceedings Volumes

View full text Add to dashboard Cite

show abstract

“…There is also an emerging trend towards fully non-linear FDI methods [9, 10]. Using these methods, some authors have considered sensor faults only [7, 11–15], actuator faults only [9, 10, 16–20], or non-simultaneous sensor and actuator faults [8, 21, 22].…”

Section: Introductionmentioning

confidence: 99%

“…In aerospace, though, nonlinear models provide a more accurate representation of the vehicle complex behavior. Most of the methods have thus been extended via linearization [8]. There is also a emerging trend toward fully-nonlinear FDI methods [9,10].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Control-based fault detection and isolation for autonomous aircraft

Marzat

Piet-Lahanier

Damongeot

et al. 2011

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

To cite this version:Julien Marzat, Hélène Piet-Lahanier, Frédéric Damongeot, Eric Walter. Control-based fault detection and isolation for autonomous aircraft. Abstract This paper describes a new method to perform fault detection and isolation for a closedloop-controlled autonomous aircraft. This vehicle is equipped with standard sensors and actuators, and its dynamics is nonlinear. It is assumed that a guidance law and a control loop have been designed to achieve a given mission. The diagnosis method uses the resulting control objectives to generate residuals indicative of the presence of faults. Two classical guidance laws are considered, leading to different control constraints and diagnosis signals. A structural sensitivity analysis shows that all sensor and actuator faults can be detected and all sensor faults isolated, for both laws. The fault diagnosis procedure does not require the costly integration of the model of the system, and the closed-loop scheme makes it robust to model uncertainty. Realistic simulation results with strong model and measurement uncertainty demonstrate the potential of the approach. A theoretical analogy with observer-based fault diagnosis is also derived.

show abstract

Fault Detection for Deep Space Satellites

Cited by 2 publications

References 3 publications

Robust automatic tuning of diagnosis methods via an efficient use of costly simulations

Robust automatic tuning of diagnosis methods via an efficient use of costly simulations

Control-based fault detection and isolation for autonomous aircraft

Contact Info

Product

Resources

About