An experimental verification of a model reference and sensitivity model-based self-learning fuzzy logic controller applied to a nonlinear servosystem (CROSBI ID 463792)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kovačić, Zdenko ; Balenović, Mario ; Bogdan, Stjepan
engleski
An experimental verification of a model reference and sensitivity model-based self-learning fuzzy logic controller applied to a nonlinear servosystem
In this paper, an experimental verification of a self-learning fuzzy logic controller (SLFLC) is described. The SLFLC contains a learning algorithm that utilizes a second-order referent model and a sensitivity model. The effectiveness of the proposed controller has been tested in the position control loop of a chopper-fed dc servo system affected by fairly high static friction and by a gravitition-dependent shaft load. The experimental results have proved that the SLFLC provides desired closed-loop behavior and eliminates a steady-state position error.
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Podaci o prilogu
263-268-x.
1997.
objavljeno
Podaci o matičnoj publikaciji
Ciliz, Kemal: Istefanopulos, Yorgo
Istanbul: Institute of Electrical and Electronics Engineers (IEEE)
Podaci o skupu
The 1997 IEEE International Symposium on Inteligent Control
predavanje
16.07.1997-18.07.1997
Istanbul, Turska