Research on Temperature Prediction of Spacecraft Cable Based on BP Neural Network
Hao Xu, Siyu Cheng, Shuo Jiang, Tian Zhao, Shizhuo Sun · 2021 IEEE 4th International Electrical and Energy Conference (CIEEC) · 2021
The cable is a key component for spacecraft to transmit energy, power and signal. Because of its resistance, it will inevitably generate heat under the action of a long time current. Therefore, temperature is the main factor affecting the life of spacecraft cable. This paper proposes an intelligent algorithm model based on Back-Propagation (BP) neural network. The algorithm, which does not depend on the complex characteristic parameters of the spacecraft cable itself, realizes the temperature calculation through training the BP network. The simulation results show that the algorithm has the advantages of high accuracy and fast convergence speed. The calculated temperature can guide and improve the design of cable layout and direction. Further calculated cable life can provide a strong foundation for future spacecraft to distribute electrical energy intelligently and autonomously.