An Nonlinear Adaptive Control Algorithm Based on BP Neural Network

被引：0
|
作者：
Liu, Di [1 ]
Wang, Zhen [1 ]
Zhang, Kai [1 ]
Li, Jian-Hai
机构：
[1] Naval Aeronaut & Astronaut Univ, Dept Control Engn, Yantai 264001, Shandong, Peoples R China
来源：
ICMS2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION, VOL 1: ENGINEERING COMPUTATION AND FINITE ELEMENT ANALYSIS | 2010年
关键词：
adaptive PID control algorithm; Model of parameter; Neural network;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, an nonlinear adaptive control algorithm based on BP neural network is applied to build the parameter model of the system, takes the controlled plant's mathematical model's control quantity and model output as the input of the neural network model. This method does not need to distinguish the system order. Identification structure is simple. The accuracy is high. BP neural network is applied to build the prameter model of the system and it change rule of time varied parameter of linear system into neural network parameter model. The results of experimant verified the effectiveness of our proposed nonlinear adaptive control algorithm based on BP neural network by computer simulation.
引用
收藏
页码：108 / 112
页数：5
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