Aller au menu Aller au contenu
Academics
Academics
Academics

> Study at Esisar > Engineering degree in Embedded Systems

Fault diagnosis and robust control: vehicle application - 5AMAC515

A+Augmenter la taille du texteA-Réduire la taille du texteImprimer le documentEnvoyer cette page par mail cet article Facebook Twitter Linked In
  • Number of hours

    • Lectures : 22.5
    • Tutorials : 4.5
    • Laboratory works : 15.0
    • Projects : -
    • Internship : -
    ECTS : 0.0
  • Officials : Damien KOENIG

Goals

This course is an introduction to the detection and localisation of sensor and actuator faults for linear dynamic systems (vehicle, aircraft, DC motor,car shock absorber,tank...).We focus our attention about the Model-based Fault Detection and Isolation Techniques: parity space approach and observer based approach. A reliable fault diagnosis system should be able to distinguish faults from system disturbances, uncertain parameters and measurement noise. More precisely, the fault diagnosis system must be robust to the disturbances and uncertainties while remaining sensitive to faults. To ensure robust diagnosis and control of the system, we present different tools: H?, LMI, PI observer, observer bank, parity space....Each approach is illustrated by numerical example or real application.

Content

Content:

  • Fault detection and isolation
    • Parity space approach
    • Observer-based approach
  • Robust control
    • Analysis of uncertain systems
    • H?control
    • Introduction to Linear Matrix Inequalities
    • Diagnosis by H? synthesis

Prerequisites

Audience/prerequisites: the course is intended for master students in applied science with a major in control. A basic knowledge on linear control theory(state space representation)is required.

  • Linear systems
  • State space approach
  • Frequential approach
  • Optimisation

Tests

N1 = 0.3TP+0.7Ex
N2 = Ex
Examen : 1h30, 1 handwritten A4 R/V sheet and calculator allowed

Calendar

The course exists in the following branches:

see the course schedule for 2021-2022

Additional Information

Course ID : 5AMAC515
Course language(s): FR

The course is attached to the following structures:

  • Team Automatic and Signal processing

You can find this course among all other courses.

Bibliography

Bibliography:

  • Jie Chen and R.J. Patton, 1999, "Robust model-based fault diagnosis for dynamic systems", Kluwer Academic Publischers.
  • R.J. Patton, P. Frank and R. N. Clark, 1999, "Issues of fault diagnosis for dynamics systems" editions Springer.
  • Zhou, Kemin, “Essentials of Robust Control”, Prentice Hall, 1998,Skogestad, S. and Postlethwaite, I., “Multivariable Feedback Control: analysis and design”, John Wiley and Sons, 2005.
  • Duc, G. and Font, S, “Commande Hinf et mu-analyse: des outils pour la robustesse“, Hermès, 1999

A+Augmenter la taille du texteA-Réduire la taille du texteImprimer le documentEnvoyer cette page par mail cet article Facebook Twitter Linked In

Date of update April 7, 2021

Université Grenoble Alpes