Research On Spacecraft Power Supply Components And System Health Evaluation Method Based On Telemetry Data

The power system is an important subsystem for spacecraft operation in orbit,which ensures the energy supply of the spacecraft platform and payloads on orbit.Therefore,it is of great significance to conduct timely and accurate health status assessment of the power system to ensure normal spacecraft operation.Based on the telemetry data,the paper carried out the research on the anomaly detection and health status assessment of the power system and its typical components after learning the structure and functional mechanism of the power system.The main work and innovations are as follows:First,to solve the problem of spacecraft solar array anomaly detection,the paper proposes a spacecraft solar array anomaly detection technique based on ILS-SVM model.Firstly,a telemetry prediction method based on the ILS-SVM model is proposed,which introduces the idea of integrated learning and effectively improves the prediction accuracy and robustness.Then a parameter-free and unsupervised anomaly determination method is proposed based on the ILS-SVM model,which effectively reduces the high false alarm rate brought by the traditional method.Finally,the paper verifies the effectiveness and real-time performance of the proposed anomaly detection framework with telemetry data from a satellite on orbit.Second,to solve the spacecraft battery health state assessment problem,the paper proposes an unsupervised model-based spacecraft battery health state assessment method.Firstly,the incremental capacity curve of the battery is obtained through function fitting and derivative.Then the health index are extracted from the partial incremental capacity curve with equal voltage interval,and each health index is assigned a weight by the entropy weighting method.Finally,the grey correlation value of the health index series between each time period and the reference time period is calculated by the grey correlation method,which is the estimated health status of the battery at each time.The method was validated in a public data set and successfully applied to the health state assessment of a satellite battery on orbit.Finally,based on the research of solar array anomaly detection and battery health status assessment,a data-driven health status assessment method for spacecraft power system is proposed.Firstly,a matching tiered health status assessment system is built based on the characteristics of the power system.Then,the health value calculation method of each index in the system and the health value transfer relationship between different tiers are proposed.Finally,the corresponding health status description is given according to the health value of each assessment index.In the paper,the health status of the power system during the orbital operation of a satellite is evaluated according to the proposed method and presented in the form of images.