Model-based fault diagnostics in an electromechanical actuator of reusable liquid rocket engine

Currently, considerable efforts are being focused on the development of reusable rockets and smart rockets due to the heavy requirements of future next-generation aerospace transportation. Safety, low-launching cost, and repeatability are expected from liquid rocket for fulfilling the big dreams of space transportation, exploration, and travelling. Therefore, research on fault detection of the liquid rocket engines (LRE) is critical for satisfying the above claims. Therefore, a comprehensive survey on the research and development of fault diagnosis systems and methods for the liquid rocket engines is presented. First, development history of liquid rocket engine diagnostic systems is reviewed thoroughly. Then three broad headings of the fault detection approaches of liquid rocket engines are divided through the summary and analysis of the existing methods, including approaches using signal processing, model-driven approach, and approach using artificial intelligence (AI). Then the paper discusses the concrete algorithms according to the classification features of the algorithms. In the end, the future developments of the fault detection approaches are presented, which will mainly pay attention to the reusability and intelligence of the rockets.

Section: Fault Detection Approach Using the Analytical Modelmentioning

confidence: 99%

Research and Development of Fault Diagnosis Methods for Liquid Rocket Engines

Wang

Ding

2022

“…Lee et al [9] proposed a Kalman filter and a fault-factor-based fault diagnosis method for an open-cycle LRE in a steady state of full thrust level. Kawatsu et al [10,11] developed a fault diagnosis method based on Dynamic Time Warping (DTW) algorithm and hierarchical clustering technique, and demonstrated the possibility of fault diagnosis for electromechanical actuators in an LRE with fault injection experiment data. Tsutsumi et al [12] proposed a data-driven fault detection method using a bivariate time-series analysis, and the static firing tests of a reusable liquid-propellant rocket engine developed by Japan demonstrated its effectiveness of fault detection and robustness.…”

Section: Introductionmentioning

confidence: 99%

A Novel Optimal Sensor Placement Method for Optimizing the Diagnosability of Liquid Rocket Engine

Ma,

Zhong,

Zhai

et al. 2024

There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redundant sensors for improving the diagnosability and economics of PHM systems. To strike a balance between sensor cost, real-time performance and diagnosability of the fault diagnosis algorithm in LRE, this paper proposes a novel Optimal Sensor Placement (OSP) method. Firstly, a Kernel Extreme Learning Machine-based (KELM) two-stage diagnosis algorithm is developed based on a system-level failure simulation model of LRE. Secondly, hierarchical diagnosability metrics are constructed to formulate the OSP problem in this paper. Thirdly, a Hierarchy Ranking Evolutionary Algorithm-based (HREA) two-stage OSP method is developed, achieving further optimization of Pareto solutions by the improved hypervolume indicator. Finally, the proposed method is validated using failure simulation datasets and hot-fire test-run experiment datasets. Additionally, four classical binary multi-objective optimization algorithms are introduced for comparison. The testing results demonstrate that the HREA-based OSP method outperforms other classical methods in effectively balancing the sensor cost, real-time performance and diagnosability of the diagnosis algorithm. The proposed method in this paper implements system-level OSP for LRE fault diagnosis and exhibits the potential for application in the development of reusable LREs.

“…However, the development cost for a new propulsion system is expensive, and there is a risk of accidents in development and tests. Furthermore, as a reusable launch vehicle (RLV) has become necessary, the maintenance of the RLV has also been a technical issue for a competitive price [11].…”

Section: Introductionmentioning

confidence: 99%

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

Cha

2023

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.