The research of PID neural network decoupling controller and its application in unit load system

被引：0
|
作者：
Liu, HJ [1 ]
Han, P [1 ]
Yao, WY [1 ]
Li, YH [1 ]
机构：
[1] N China Elect Power Univ, Dept Automat, Baoding 071003, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
unit power plant; load control; neural network; PID control; decoupling control;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on back-propagation (BP) arithmetic, a neural network PID decoupling control strategy is presented for multi-input and multi-output (MIMO) system, which is applied to thermal power unit load system. The idea is the parameter such as proportion, integration and differentiation of PID controller are tuned on-line through self-learning of a network based on a certain control law. And the corresponding control law is taken across classical PID control algorithm. Then decoupling control is carried, out in the process. Simulation results show that the almost dynamic decoupling and completely static decoupling are obtained, the closed loop system has zero static error, and the advantages of higher speed response and stronger robustness are developed.
引用
收藏
页码：505 / 509
页数：5
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