The research on the coordinated control system of PID neural network based on artificial fish swarm algorithm

被引：0
|
作者：
Liu Xin-yue [1 ]
Yu Kai-yao [1 ]
Xi Dong-min [1 ]
机构：
[1] Inner Mongolia Univ Technol, Elect Power Coll, Hohhot 010080, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
unit power plant; coordinated control system; PID neural network control system; artificial fish swarm algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The large-scale unit power plant is a typical multiple-inputs and multiple-outputs system, which is of time-delaying, time-varying, nonlinear, strong coupling, and dynamic characteristics variation characteristics. The coordinated control system is the most important and complex system in thermal power plant, and its control effect affects the operating condition of the unit. The PID neural network is applied to the coordinated control system, which optimizes the traditional PID control system, but there are some problems when selecting the initial weights. The article uses the coordinated control system of PID neural network based on artificial fish swarm algorithm, and by simulation, the system improve the control effect and meet the control requirements.
引用
收藏
页码：3065 / 3068
页数：4
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