A Multi-mode Power Management Method for Aircraft Convolution

Author:

Cai Wenjie,Tian Feng,Shi Dongqiang,Liu Hedong

Abstract

Abstract 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.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference19 articles.

1. Processor free time forcasting based on convolutional neural network;Ying;Proceedings of the 37th Chinese Control Conference,2018

2. Joint transmit-receive subarray sythesis optimization for hybid MIMO phased-array radar;Yi,2017

3. A Redundant fault -tolerant aviation control system based on deep neural network;Ying;Chinese Intelligent System Conference,2019

4. An improved deep q-learning for intelligent transmitter control system;Ying;Lecture Notes in Electrical Engineering,2019

5. IP Softcore for a bubbling convolutional accelerator in a neural net Work;Yingxiu;Electronics World,2019

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