摘要
本文首先对BP神经网络进行概述,然后对基于BP神经网络的PID控制器的设计进行分析,最后进行模拟仿真研究,得出基于BP神经网络的PID控制器与传统PID控制器具有适应性强、精度高等明显优势的结论。
This paper first summarizes the BP neural network, and then analyzes the design of the PID controller based on BP neural network. Finally, the simulation results show that the PID controller based on BP neural network is adaptable to the traditional PID controller Strong, high precision and other obvious advantages of the conclusion.
出处
《电子测试》
2017年第5期37-37,15,共2页
Electronic Test
