Model-Based Robust Transient Control of Reusable Liquid-Propellant Rocket Engines

Pérez-Roca, Sergio; Marzat, Julien; Piet-Lahanier, Hélène; Langlois, Nicolas; Galeotta, Marco; Farago, François; Gonidec, Serge Le

doi:10.1109/taes.2020.3010668

Cited by 15 publications

(6 citation statements)

References 34 publications

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“…The operational conditions of LREs are typically categorized into three stages: the startup phase, the main stage, and the shutdown phase. A majority of studies indicate that during the startup and shutdown phases, the data measured by sensors exhibit highly non-stationary and transient characteristics [35][36][37][38]. Conversely, during the main stage, the engine operates stably, and the sensor measurements are either inherently stationary or can be rendered stationary through normalization, differencing, and similar procedures.…”

Section: Strategies For Online Monitoringmentioning

confidence: 99%

Sparsity-Constrained Vector Autoregressive Moving Average Models for Anomaly Detection of Complex Systems with Multisensory Signals

Ma,

Zhang,

Zhai

et al. 2024

Mathematics

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Detecting anomalies in large, complex systems is a critical and challenging task, and this is especially true for high-dimensional anomaly detection due to the underlying dependency structures among sensors. To incorporate the interrelationships among various sensors, a novel sparsity-constrained vector autoregressive moving average (scVARMA) model is proposed for anomaly detection in complex systems with multisensory signals. This model aims to leverage the inherent relationships and dynamics among various sensor readings, providing a more comprehensive and accurate analysis suitable for complex systems’ complex behavior. This research uses convex optimization to search for a parameterization that is sparse based on the principal of parsimony. This sparse model will not only contribute to meeting the real-time requirements of online monitoring strategies but also keeps the correlations among different sensory signals. The performance of the proposed scVARMA model is validated using real-world data from complex systems. The results affirm the superiority of the proposed scheme, demonstrating its enhanced performance and potential in practical applications.

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Section: Strategies For Online Monitoringmentioning

confidence: 99%

Sparsity-Constrained Vector Autoregressive Moving Average Models for Anomaly Detection of Complex Systems with Multisensory Signals

Ma,

Zhang,

Zhai

et al. 2024

Mathematics

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“…The German Aerospace Center (DLR) researched simulation modeling to simulate the start-up of an LPRE considering various fluid flow phenomena (two-phase flow) and the numerical resolution of these phenomena [38,39]. Additionally, the France Space Agency (CNES) developed a simple thermodynamical simulator of an open-cycle LPRE in MATLAB/SIMULINK to capture a transient behavior and verified with the Vulcane 1 engine to design a thrust control algorithm [40,41]. In Russia, the Moscow Aviation Institute (MAI) presented a simulation program based on ANASYN for commercial programs to analyze transient behavior [42].…”

Section: Liquid-propellant Rocket Enginesmentioning

confidence: 99%

“…Lumped model method [34,40,60,67] Method of characteristics [37,141] Volume-junction method (Lumped parameter method) [29,39,47,142] 3.2.3. Others…”

Section: Refs (Selected)mentioning

confidence: 99%

“…On the other hand, if the fuel is not cryogenic, the nonlinearity of the pressure drop by the heat is negligible enough to represent using the function of mass flow rate with a constant coefficient, so the governing equations related to the heat exchangers can become algebraic equations and the differential type equations are required no more. In that case, only four governing Equations (Rotational dynamics, Mass flow rate, Pressure dynamics, and Time delay dynamics) are required to represent the liquid propulsion system simulation system [39,40,60].…”

Section: Mathematical Modeling Of Chemical Propulsion Systemsmentioning

confidence: 99%

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Numerical Simulation of Chemical Propulsion Systems: Survey and Fundamental Mathematical Modeling Approach

Cha

2023

Aerospace

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This study deals with the mathematical modeling and numerical simulation of chemical propulsion systems (CPSs). For this, we investigate and summarize a comprehensive collection of the simulation modeling developments of CPSs in academic works, applications, and industrial fields. Then, we organize and analyze the simulation modeling approaches in several ways. After that, we organize differential-algebraic Equations (DAEs) for fundamental mathematical modeling consisting of the governing Equations (ordinary differential equations, ODEs) for the components and other equations derived from several physical rules or characteristics (algebraic equations or phenomenological equations, AEs) and then synthesize and summarize the fundamental structures of analytic mathematical modeling by types (liquid-propellant rocket engines, solid-propellant rocket motors, and hybrid-propellant rocket motors) of CPSs.

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“…Based on the state-space model of the liquid rocket engine, a model predictive control (MPC) approach to transient control of the engine was developed. [19][20][21] In this approach, a nonlinear preprocessor was used to generate the state reference, while the linear MPC was used to improve the performance and robustness of the engine during the start-up process with sufficient accuracy. Xu et al 22 designed the augmented linear quadratic regulation (ALQR) multi-variable controller to implement the thrust control through the control of the valve openings.…”

Section: Introductionmentioning

confidence: 99%

Throttling simulation and control of liquid oxygen/liquid methane rocket engine pressurized by the electric pump

Hu,

Wu,

Liang

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article presented simulation and control of a liquid oxygen/liquid methane variable thrust rocket engine pressurized by the electric pump in the throttling process. To get a proper injection pressure drop, the variation of the injection area was investigated and determined. In the control scheme, the combustion pressure and mixture ratio were the targets. To simplify the control scheme, the pressure and mixture ratio were correlated to the oxygen mass flow rate and methane mass flow rate, respectively. By controlling the propellant mass flow rate, the target engine thrust was reached. In addition, the influence of mass flow rate measurement points on the control effect was analyzed. The simulation results showed that the designed controller can reduce the overshoot of the critical engine parameters. Therefore, the maximum temperature of the thrust chamber wall after the regenerative cooling was decreased. Consequently, the thrust control errors were within 3% except for the points where the thrust changed suddenly, which can meet the mission requirements.

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Model-Based Robust Transient Control of Reusable Liquid-Propellant Rocket Engines

Cited by 15 publications

References 34 publications

Sparsity-Constrained Vector Autoregressive Moving Average Models for Anomaly Detection of Complex Systems with Multisensory Signals

Sparsity-Constrained Vector Autoregressive Moving Average Models for Anomaly Detection of Complex Systems with Multisensory Signals

Numerical Simulation of Chemical Propulsion Systems: Survey and Fundamental Mathematical Modeling Approach

Throttling simulation and control of liquid oxygen/liquid methane rocket engine pressurized by the electric pump

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