Open AccessPunctuality Algorithm Based on BP Neural Network PID Control
Author(s) -
Yingying Yang,
Liangfu Peng,
Demei Peng
Publication year - 2021
Publication title -
frontiers in signal processing
Language(s) - English
Resource type - Journals
eISSN - 2521-7380
pISSN - 2521-7372
DOI - 10.22606/fsp.2021.52002
Subject(s) - punctuality , artificial neural network , computer science , algorithm , global positioning system , control (management) , satellite , real time computing , control engineering , engineering , artificial intelligence , telecommunications , aerospace engineering , transport engineering
In the modern information society, high-precision clocks are particularly important in the fields of electric power, communications, aviation, and finance, and have very strict objective requirements in terms of frequency accuracy. Currently, the technology of using GPS satellite clock sources to synchronize local clocks has become one of the mainstream methods for generating high-precision clocks at home and abroad. The core idea of this technology is to use the satellite clock to tame the local clock. Due to the development and application of 5G, the accuracy of the system's punctuality have higher requirements, Through analysis, it is found that the combination of BP neural network and PID control can be used to optimize the control of the constant temperature crystal oscillator and improve the precision of punctuality. Finally, the simulation results show that the method has a significant effect in improving the accuracy of punctuality.