Neural network control approach for a two-tank system

被引：0

作者：

Majstorovic, Mladen ^{[1
]}

Nikolic, Ivan ^{[1
]}

Radovic, Jelena ^{[1
]}

Kvascev, Goran ^{[1
]}

机构：

[1] Univ Belgrade, Fac Elect Engn, Belgrade, Serbia

来源：

NEUREL 2008: NINTH SYMPOSIUM ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, PROCEEDINGS | 2008年

关键词：

NARMA-L2; neural networks; reference control; two-tank system;

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：

This paper describes two different approaches in a two tank-system control using neural networks - the NARMA-L2 Control and the Model Reference Control. Knowing that the process control has had the most satisfying results using a standard PID controller, this paper compares the two approaches' results one to another but also every one of them with the PID controller's results. The goal was to increase the system response speed without heavily increasing the two other relevant parameters - the overshoot and the steady state error. All of the experiments, measurements and simulations were conducted in Matlab/RT Simulink.

引用

页码：203 / 206

页数：4

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