A sensitivity-based self-learning fuzzy logic controller as a solution for a backlash problem in a servo system (CROSBI ID 463791)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kovačić, Zdenko ; Bogdan, Stjepan ; Balenović, Mario
engleski
A sensitivity-based self-learning fuzzy logic controller as a solution for a backlash problem in a servo system
In this paper, a self-learning fuzzy logic controller (SLFLC) is described whose learning algorithm utilizes a second-order reference model and a sensitivity model. The effectiveness of the proposed controller has been tested in the position control loop of a dc servo system affected by a backlash nonlinearity. The simulation results have proved that the SLFLC provides a desired closed-loop behavior and also significantly reduces a steady-state position error caused due to the presence of a backlash.
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Podaci o prilogu
(TC2-11.1) - (TC-x.
1997.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 1977 IEEE International Electric Machines and Drives Conference
Oliver, Jim
Milwaukee (WI): Institute of Electrical and Electronics Engineers (IEEE)
Podaci o skupu
1977 IEEE international electric machines and drives conference record
predavanje
18.05.1997-21.05.1997
Milwaukee (WI), Sjedinjene Američke Države