Optimal Output Tracking Control Simulation for Thrust Control of an Open-cycle Liquid Propellant Rocket Engine

Cha, Jihyoung; Cho, Woo-Sung; Ko, Sangho

doi:10.6108/kspe.2020.24.2.052

Cited by 1 publication

(2 citation statements)

References 12 publications

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“…where A, D, and f , are the area, diameter, and friction factor of the pipeline, respectively, ρ is the density of the fluid, and a v sin θ is the vehicle acceleration component along the line axis. The PDEs should be solved because the transient state fluid flow is unsteady in a pipe of CPSs, especially in the start-up process [37,141]. However, since there is no general solution for PDEs, the PDEs can be transformed by the method of characteristics, which is an application of a lagrangian multiplier method using the two PDEs, to two sets of two ordinary differential equations in a two-dimensional (pipeline and time axises) plane, as shown in Figure 9.…”

Section: Perspective Of Pipe Modeling Methodsmentioning

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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Section: Perspective Of Pipe Modeling Methodsmentioning

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%

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

Cha

2023

Aerospace

View full text Add to dashboard Cite

show abstract

Optimal Output Tracking Control Simulation for Thrust Control of an Open-cycle Liquid Propellant Rocket Engine

Cited by 1 publication

References 12 publications

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

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

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