Sensitivity-based Self-learning Fuzzy Logic Control for a Servo System (CROSBI ID 81516)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kovačić, Zdenko ; Balenović, Mario ; Bogdan, Stjepan
engleski
Sensitivity-based Self-learning Fuzzy Logic Control for a Servo System
In this article, an experimental verification of a self-learning fuzzy logic controller (SLFLC) is described. The SLFLC contains a learning algorithm that utilizes a second-order reference model and a sensitivity model related to the fuzzy controller parameters. The effectiveness of the proposed controller has been tested by experiment in the position control loop of a chopper-fed dc servo system in the presence of a gravity-dependent shaft load and fairly high static friction. The experimental results have proved that the SLFLC provides desired closed-loop behavior and eliminates a steady-state position error.
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o izdanju
Povezanost rada
Elektrotehnika