Analysis shows improved design iteration and performance in launch vehicle guidance systems, suggesting MBSE offers advantages in complexity management.
The increasing number of space exploration missions and the complexity of exploration missions have brought great challenges to the design of launch vehicles. The guidance system is the key subsystem of launch vehicles and the key to the success of launch. Traditional document-based design patterns have been increasingly unable to cope with the problems of insufficient expression, rapid change analysis, and design iteration brought by the increase in system complexity. Employing the MBSE (Model-Based Systems Engineering) method in guidance system design has the advantages of integrated design, closed-loop verification, and fast iteration. The co-simulation between the system-level MBSE model—which captures requirements, functions, and architecture—and domain model (e.g., CAD models and MATLAB-based guidance algorithms, representing discipline-specific implementation models) is conducive to verification and accurate trade-off analysis under frequent changes in requirements and provides support for the rapid design and selection of the launch vehicle guidance system.
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Zhang et al. (2025) studied this question.
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