Sensitivity-based Self-learning Fuzzy Logic Controller as a PLC Super Block (CROSBI ID 530173)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bogdan, Stjepan ; Kovačić, Zdenko ; Krapinec, Danijel
engleski
Sensitivity-based Self-learning Fuzzy Logic Controller as a PLC Super Block
In this article, implementation of a self-learning fuzzy logic controller (SLFLC) in a form of PLC super block 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 PLC super block has been tested by experiment in the position control loop of an electronically commutated servo system in the presence of a gravity-dependent shaft load. The experimental results have proved that the SLFLC implemented in PLC provides desired closed-loop behavior.
Fuzzy control; self-learning fuzzy control; PLC function block; position control
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Podaci o prilogu
1-6-x.
2007.
objavljeno
Podaci o matičnoj publikaciji
The Proceedings of the 15th Mediterranean Conference on Control and Automation
Kovačić, Zdenko
Atena: Mediterranean Control Association
978-96-0254-664-2
Podaci o skupu
The 15th Mediterranean Conference on Control and Automation
predavanje
27.06.2007-29.06.2007
Atena, Grčka