A Soft Vector Control for Transportation Systems by a Neuro-Fuzzy Solution

Author

Mihai, D. ; Manolea, Gh ; Constantinescu, C.

Author_Institution

Univ. of Craiova, Craiova

fYear

2007

fDate

June 29 2007-July 2 2007

Firstpage

27

Lastpage

32

Abstract

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.

Keywords

electric drives; fuzzy control; fuzzy neural nets; learning (artificial intelligence); machine control; motion control; neurocontrollers; robust control; transportation; velocity control; electrical drive system; neural network training; neuro-fuzzy solution; robust behavior; smooth motion; soft vector control; speed controller synthesis; transportation system; Artificial neural networks; Control system synthesis; Control systems; Fuzzy logic; Fuzzy neural networks; Machine vector control; Modems; Robust control; Stability; Transportation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on

Conference_Location

Budapest

Print_ISBN

1-4244-1147-5

Electronic_ISBN

1-4244-1148-3

Type

conf

DOI

10.1109/INES.2007.4283667

Filename

4283667