###### Abstract  
The new generation of low-earth-orbit (LEO) satellite constellation systems has the characteristics of low delay, strong signal and global coverage, and it is an important direction for the development of next-generation communication technology. A major disadvantage is that the constellation system is huge, often composed of hundreds or thousands of satellites, which puts forward high requirements for the design and health management of the constellation system, and the existing telemetry data monitoring system cannot meet the actual needs. CPS is a multidimensional complex system that integrates computation, communication and control (3C). Through the deep integration and cooperation of 3C, the real-time monitoring and dynamic control of large-scale engineering systems are realized, which is completely suitable for the operation and maintenance requirements of the satellite constellation system. This paper firstly establishes the entire satellite constellation system model, which is integrated from the satellite multidomain system, the constellation orbit environment system and the communication link system. Then, according to the technical concept of cyber-physical systems (CPS), an implementation framework of a prognostics and health (PHM) system driven by a model-data hybrid for satellite constellation systems is proposed. The framework is based on model simulation data and telemetry data and combines virtual and real data fusion, fault diagnosis, simulation prediction and other technologies to generate enhanced data to drive the effective operation of the PHM system. Finally, a verification case is designed to prove that the satellite constellation health management system implemented under this framework has a positive effect on the reliable operation and maintenance of the satellite constellation system. c 2022 11 2022 202  
engineers. When one or more telemetry parameters exceed the predefined safety threshold, the operation engineer will try to locate the fault with the aid of a fault diagnosis algorithm [3]. Obviously, the traditional PHM method for satellites is not suitable for satellite constellation systems that have higher requirements on reliability for three reasons. Firstly, there is a lag in data-driven health monitoring technology because many faults do not occur suddenly, the abnormal behavior caused by the early degradation of spacecraft components is very subtle and it is easy for technicians to ignore when they simply use telemetry data for monitoring. In the form of a threshold value, it indicates that the fault was not detected in time, and it is likely that the relevant components have been damaged [4]. Second, when a satellite enters nonmeasuring and control areas and loses telemetry data, data-driven methods are not applicable [5]. Third, the variables contained in telemetry data may be less sensitive to fault characteristics, which will reduce the efficiency and accuracy of the fault detection algorithm [6]. In this context, introducing a virtual model of satellite constellation to describe the behavior of constellation entities and combining virtual models with telemetry data is an important way to make up for the shortage of telemetry data [7]. So far, the modeling of the constellation has been developed in three main ways, namely, the model of the satellite multidomain system, the model of the constellation system and the model of the communication link system. The satellite system is a typical complex system with mechanical, electrical, thermal and control coupling and the modeling method based on the Modelica language has made great achievements in this respect. As early as 2009, [PERSON] established the Modelica model of the satellite flywheel, which verified the feasibility of Modelica language in satellite multidomain modeling [8]. In 2017, [PERSON] explored the technical roadmap of integrating satellite dynamics and control models developed in the Modelica language into the mechanical design cycle of satellites with certain success [9]. Later, [PERSON] et al.