Open AccessA Multi-mode Power Management Method for Aircraft Convolution
Author(s) -
Wenjie Cai,
Feng Tian,
Dongqiang Shi,
Hedong Liu
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2242/1/012046
Subject(s) - idle , convolution (computer science) , mode (computer interface) , computer science , power (physics) , series (stratigraphy) , power consumption , real time computing , control theory (sociology) , artificial intelligence , operating system , paleontology , physics , control (management) , quantum mechanics , artificial neural network , biology
In order to realize the management of the aircraft, it is suitable for the long-term management operation of the aircraft. In this paper, a multi-mode management method for aircraft based on convolution prediction is proposed. Firstly, the historical consumption data of the system over time is collected, and its idle time is sorted into time-dependent historical input data. Secondly, the consumption prediction model based on convolution is established. The historical idle time series of the systemt is input, and the system is output to predict the idle time series. Finally, according to the difference between idle time and mode switching balance time, the corresponding management multi-mode switching is performed.