电子科技2016，Vol.29Issue(1)：78-82,5.DOI:10.16180/j.cnki.issn1007-7820.2016.01.021
基于ESO的NLPID神经网络控制器的设计
Design of NLPID PID Neural Network Controller Based on ESO
摘要
Abstract
A nonlinear PID neural network control method of strong anti-disturbance ability is proposed for bet-ter adaptability and immunity .Through the ESO , the method feeds the forward compensation for the uncertainties in modeling and the external disturbance of the system in real time , and combines with the nonlinear PID neural net -work to achieve the optimal control of PID control for the nonlinear , time-varying, uncertainty and unknown externaldisturbance immunity system, thus solving the problem of the large computation and poor immunity for PID control .Comparison between the Matlab simulation results and the traditional method of PID control and the classic ADRCmethod shows that the method has better dynamic and static performance and is of great application value in the fieldof nonlinear control system.关键词
NLPID神经网络/扩张状态观测器(ESO)/自适应Key words
NLPID neural network/Extended State Observer ( ESO)/self-adapting分类
信息技术与安全科学引用本文复制引用
高秋华,曾喆昭..基于ESO的NLPID神经网络控制器的设计[J].电子科技,2016,29(1):78-82,5.基金项目
长沙理工大学开放基金资助项目(13KFJJ07) （13KFJJ07）
