Abstract

Spacecraft power system simulation involves the coupling of electrical, thermal and control domains. At present, the modeling and simulation of multi-domain physical system mainly uses the single-domain software to establish a single-domain model, and solves the unified multi-domain modeling and simulation through the interface between the software or using HLA. But it cannot fully support the modeling and simulation of multi-domain physical system, and the model has poor reusability and extensibility. As a multi-domain modeling language, Modelica language supports acausal modelling, unified multi-domain modeling, object-oriented physical modeling and hybrid modeling. So it is widely used in the aerospace area. In this paper, Modelica language is used to establish module library of spacecraft power system on simulation platform MWorks, and the multi-domain simulation model of spacecraft power system is obtained by assembling each sub-model, and the performance of the model is simulated and analyzed so as to achieve the purpose of improving and verifying the model.

Highlights

  • With the rapid development of space technology, the power system technology has achieved rapid development

  • The multi-domain simulation model of spacecraft power system is used to carry out simulation experiments

  • The conclusions drawn from this figure are as follows: (1) The voltage of the power bus is basically stable at 28V, indicating that the shunt regulator (SR) and battery discharge regulator (BDR) are working normally

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Summary

Introduction

With the rapid development of space technology, the power system technology has achieved rapid development. The built model has a huge intuitive difference from the actual system composition It is difficult for the general emulators to understand and it is not convenient for them to establish the system they want to study according to their needs, which greatly reduces the ease of use of the built model library. The establishment of Matlab/Simulink model for systems that need to consider complex mechanisms, such as power systems, requires a large block diagram connection. It is error-prone and poor model reusability, and difficult to classify and organize each model

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