军事医学2017，Vol.41Issue(2)：118-122,5.DOI:10.7644/j.issn.1674-9960.2017.02.009
基于BP神经网络的PID控制器在气体混合配比系统中的应用
Design of gas blenders based on BP neural network PID controller
摘要
Abstract
Objective To design a new PID controller for gas blenders based on BP neural network.Methods The new controller was developed by combining BP neural network with PID control method.Three neural network layers and a performance index function were formulated to tune PID parameters,which could modify the weight coefficients of the neural network using gradient descent method.Results The simulation results showed that the new controller was superior to the traditional PID controller as evidenced by quicker adjustment and less overshoot.Conclusion The new controller has better performance,and is of greater importance for gas blenders.关键词
气体混合配比系统/BP神经网络/PID控制器Key words
gas blender/BP neural network/PID controller分类
信息技术与安全科学引用本文复制引用
王春晨,徐新喜,陈锋,张广,孙建军,余明,李良喆,吴太虎..基于BP神经网络的PID控制器在气体混合配比系统中的应用[J].军事医学,2017,41(2):118-122,5.基金项目
军队后勤科研重大项目资助(AWS13Z006) （AWS13Z006）
