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Sensitivity-based Self-learning Fuzzy Logic Control for a Servo System (CROSBI ID 81516)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Kovačić, Zdenko ; Balenović, Mario ; Bogdan, Stjepan Sensitivity-based Self-learning Fuzzy Logic Control for a Servo System // Control systems magazine, 18 (1998), 3; 41-51-x

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.

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Podaci o izdanju

18 (3)

1998.

41-51-x

objavljeno

0272-1708

Povezanost rada

Elektrotehnika