Artificial neural network as a gain scheduler for PI speed controller in DC motor drives

被引：2

作者：

Kulic, F ^{[1
]}

Kukolj, D ^{[1
]}

Levi, E ^{[1
]}

机构：

[1] Univ Novi Sad, Fac Engn, YU-21000 Novi Sad, Yugoslavia

来源：

NEUREL 2000: PROCEEDINGS OF THE 5TH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING | 2000年

关键词：

DC machines; drives; neural networks; speed control;

D O I：

10.1109/NEUREL.2000.902412

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper proposes application of an artificial neural network (ANN) as a gain scheduler for a conventional PI speed controller. A comparative analysis of a DC motor drive behaviour, controlled by a conventional PI speed controller with and without ANN based gain scheduling, is performed, It is shown that gain scheduling by a suitably trained ANN enables very good quality of the drive performance over a wide range of operating conditions. The achievable quality of performance is superior to the one obtainable without gain scheduling. Verification of the proposed DC motor speed control system is provided by extensive simulation.

引用

页码：199 / 203

页数：5

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