Title :
A servo system control with time-varying load using type-2 fuzzy neural system
Author :
Oniz, Yesim ; Kayacan, Erdal ; Aras, Ayse Cisel ; Kaynak, Okyay ; Abiyev, Rahib
Author_Institution :
Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey
Abstract :
A type-2 fuzzy neural system (T2FNS) is proposed in this paper for process control. The structure of the system is presented and the rules for updating its parameters are derived using the gradient algorithm. The effectiveness of the proposed approach is evaluated on a laboratory setup that regulates the speed of a DC motor and the experimental results are compared with those obtained with the use of a type-1 fuzzy neural system (T1FNS). It is seen that T2FNS results in reduced oscillations around the set point in the presence of load disturbances.
Keywords :
DC motors; fuzzy systems; gradient methods; neural nets; process control; servomechanisms; time-varying systems; DC motor; gradient algorithm; load disturbance; process control; servo system control; time varying load; type-1 fuzzy neural system; type-2 fuzzy neural system; DC motors; Fuzzy sets; Fuzzy systems; Load modeling; Torque; Training; Uncertainty;
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2010.5675372
