Journal of Shanghai Jiao Tong University ›› 2021, Vol. 55 ›› Issue (6): 716-728.doi: 10.16183/j.cnki.jsjtu.2019.254

Special Issue: 《上海交通大学学报》2021年“航空航天科学技术”专题 《上海交通大学学报》2021年12期专题汇总专辑

Previous Articles     Next Articles

A Combined Residual Detection Method of Reaction Wheel for Fault Detection

HE Xiawei1,2, CAI Yunze1(), YAN Lingling2   

  1. 1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    2. Innovation Academy for Microsatellite, Chinese Academy of Sciences, Shanghai 201203, China
  • Received:2020-09-05 Online:2021-06-28 Published:2021-06-30
  • Contact: CAI Yunze


A fault detection method of combined residual is proposed to effectively master the health state of the reaction wheels of in-orbit satellite according to the telemetry data. Based on the characteristics of in-orbit telemetry data, in the proposed method, the XGBoost regression model is used to predict the rotation speed and generate residual with available data of the closed-loop controlled reaction wheel. The sensitivity of viscous friction coefficient to the sudden change of friction torque is also combined with the method. In addition, the fault detection method is verified in view of the incomplete telemetry data in orbit. The result shows that the proposed method has an excellent detection effect on common reaction wheel faults. The combined residual fault detection method does not rely on fault samples and has low requirements for samples, so it has a certain application value in practical fault detection system.

Key words: closed-loop system, reaction wheel, fault detection, incomplete data, machine learning

CLC Number: