A soft vector control for transportation systems by a neuro-fuzzy solution

被引：0
|
作者：
Mihai, D. [1 ]
Manolea, Gh. [1 ]
Constantinescu, C. [2 ]
机构：
[1] Univ Craiova, Dept Elect Dr, 5 Lapusului, Craiova 1100, Romania
[2] IPA CIFATT, Craiova, Romania
来源：
INES 2007: 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/INES.2007.4283667
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 deals with the synthesis of a speed controller by the neuro-fuzzy techniques. Because the associated electrical drive system (with asynchronous motor and a vector control strategy) is used for a transportation system, the main concern is for obtaining a smooth motion and a robust behavior of the whole system. The fuzzy solution is analyzed comparatively with the standard structure that generated it by training the neural network. Different training conditions are taken into account. The influence of the motor parameters, load characteristics, reference value and tuning parameters are considered.
引用
收藏
页码：27 / +
页数：2
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