Title :
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
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;
Conference_Titel :
EUROCON, 2013 IEEE
Conference_Location :
Zagreb
Print_ISBN :
978-1-4673-2230-0
DOI :
10.1109/EUROCON.2013.6625243
