Model-Based Robust Transient Control of Reusable Liquid-Propellant Rocket Engines
| Autor: | Serge Le Gonidec, Julien Marzat, Sergio Pérez-Roca, Francois Farago, Nicolas Langlois, Hélène Piet-Lahanier, Marco Galeotta |
|---|---|
| Přispěvatelé: | Pôle Automatique et Systèmes, Institut de Recherche en Systèmes Electroniques Embarqués (IRSEEM), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC), DTIS, ONERA, Université Paris Saclay [Palaiseau], ONERA-Université Paris-Saclay, Centre National d'Etudes Spatiales - Direction Des Lanceurs. (CNES), ArianeGroup SAS |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
transients Observer (quantum physics) Computer science Model Predictive Control (MPC) Aerospace Engineering Thrust robustness 02 engineering and technology [SPI.AUTO]Engineering Sciences [physics]/Automatic [SPI]Engineering Sciences [physics] parameter-varying 020901 industrial engineering & automation control oriented nonlinear modelling 0203 mechanical engineering Control theory Robustness (computer science) [INFO]Computer Science [cs] [MATH]Mathematics [math] Electrical and Electronic Engineering Reusable liquid-propellant rocket engines Parametric statistics [PHYS]Physics [physics] 020301 aerospace & aeronautics Liquid-propellant rocket Nonlinear system Model predictive control Predictive Control Control system trajectory planning Liquid propellant rocket engines |
| Zdroj: | IEEE Transactions on Aerospace and Electronic Systems IEEE Transactions on Aerospace and Electronic Systems, Institute of Electrical and Electronics Engineers, 2021, 57 (1), pp.129-144. ⟨10.1109/TAES.2020.3010668⟩ |
| ISSN: | 2371-9877 0018-9251 |
| DOI: | 10.1109/taes.2020.3010668 |
| Popis: | International audience; Reusable liquid-propellant rocket engines (LPREs) imply more demanding robustness requirements than expendable ones due to their extended capabilities. Therefore, the goal of this work was to develop a control loop adapted to all the operating phases of LPRE, including transients, and robust to internal parametric variations. Firstly, thermo-fluid-dynamic simulators representative of the gas-generator-cycle engines were built. These simulators were subsequently translated into nonlinear state-space models. Based on these models, the continuous subphase of the start-up transient is controlled to track precomputed reference trajectories. Beyond the start-up, throttling scenarios are managed with end-state-tracking algorithm. Model Predictive Control has been applied in a linearised manner with robustness considerations to both scenarios, in which a set of hard state and control constraints must be respected. Tracking of pressure (thrust) and mixture-ratio operating points within the design envelope is achieved in simulation while respecting constraints. Robustness to variations in the predominant parameters, to external state perturbations and to the possible impact of an observer on the loop, is demonstrated. |
| Databáze: | OpenAIRE |
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