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222 - Health Aware Control System development for Reusable Cryogenic Liquid ...

222 - Health Aware Control System development for Reusable Cryogenic Liquid ...

  • Contract :Post doctorate
  • Duration :from 12 to 24 months
  • Working time :Full-time
  • Experience :Entry Level
  • Education level :Doctorate

Your mission at CNES :

Health Aware Control System development for Reusable Cryogenic Liquid Rocket Engines

The recent effort of performance improving of a liquid propellant rocket engine together with the need of its mass and cost optimisation, push us towards the introduction of health monitoring systems able to reconfigure the engine functioning point in case of failures detection

The introduction of reusability in the nominal engine cycle impose to take into account for a FTC () system the prediction of the health evolution and an estimation of the engine remaining life.Aware control/command systems of the engine health can be developed on this new engine generation in order to allow a regulation based on the actual and predicted health status of the engine.Such systems are the more and more used on complex systems and process in order to improve their reliability and safety and could allow on the long-period a significant production and exploitation (maintenance) cost-reduction.

In order to achieve these targets, the main objectives of these post-doc are:
- Exploring the status of the art: this task foresees the study of the existent methodologies and the choice of 2 or 3 among them that seems the most convenable, pertinent and promising
- Degradation estimating: it consists in developing a hybrid strategy for the estimation of the current health status of the engine and the prediction of its degradation (basing on the engine components RULs). This approach has to considerer model-based knowledge and experimental data as well (telemetry from sensors, historical data, …)
- Reconfiguring the control law: new methodologies for the reconfiguration of the engine control law (in terms of failure tolerance) that can guarantee the stability of the system with the desired performance levels will be developed.
The objective is to minimize the level of energy consumption of the system as well as its rate of degradation. The most promising strategy will be deployed and validated through the available data-base coming from real engines.

For more information contact didier.theilliol@univ-lorraine.fr from CRAN and apply before April 2nd midnight Paris time.

Candidate profile searched:

Specialisation in Automatic / Control engineering

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