Adaptive recurrent neuro-fuzzy control of the complex drive system

Author

Knychas, Sebastian ; Szabat, Krzysztof

Author_Institution

Inst. of Electr. Machines, Drives & Meas., Wroclaw Univ. of Technol., Wroclaw, Poland

fYear

2013

fDate

1-4 July 2013

Firstpage

1932

Lastpage

1937

Abstract

In the paper issues related to the control of the drive system with changeable parameters are presented. The adaptive MRAS-base control structure with a retunable neuro-fuzzy controller is applied. The architecture of the fuzzy sets and recurrent feedbacks are described. The main point of the work is a comparative analysis of the influence of the recurrent feedback on the properties of the control structure. The obtained results have been compared with the classical Mamdani and TSK systems. Selected simulation results are included in the paper as well as some experimental tests that confirm the theoretical investigations.

Keywords

adaptive control; electric drives; feedback; fuzzy control; machine control; neurocontrollers; adaptive MRAS-base control structure; adaptive recurrent neuro-fuzzy control; complex drive system; drive system control; fuzzy set; recurrent feedbacks; retunable neuro-fuzzy controller; Adaptive control; Fuzzy control; Fuzzy neural networks; Torque; Transient analysis; adaptive control; electrical drives; neuro-fuzzy control; recurrent feedbacks;

fLanguage

English

Publisher

ieee

Conference_Titel

EUROCON, 2013 IEEE

Conference_Location

Zagreb

Print_ISBN

978-1-4673-2230-0

Type

conf

DOI

10.1109/EUROCON.2013.6625243

Filename

6625243