A Novel Fuzzy PID Neural Model Control Method

被引:1
|
作者
Ding Zhefeng [1 ]
机构
[1] Acad Equipment Command & Technol Peoples Liberat, Beijing 101416, Peoples R China
来源
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 2 | 2009年
关键词
fuzzy neural network model; PID neural network; circulating fluidized beds;
D O I
10.1109/ICICISYS.2009.5358305
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A kind of PID neural network control on the basis of fuzzy neural network model is proposed in,this paper, which combines the fuzzy neural network model with the PID neural network PID neural network weight is tuned online by using fuzzy neural network model and gradient descent method, and the proposed method is applied to the bed temperature control of CFB boilers The simulation results show that the proposed controller produces better effects than traditional controllers in both steady performance and dynamic performance, including shorter steady-state time, non-overshot, non- oscillator, higher dynamic tracking rate, etc
引用
收藏
页码:675 / 678
页数:4
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