Title :
Sensitivity-based self-learning fuzzy logic controller as a PLC super block
Author :
S. Bogdan;Z. Kovacic;D. Krapinec
Author_Institution :
University of Zagreb, Faculty of EE&C, Dept. of Control and Computer Engineering, Croatia
fDate :
6/1/2007 12:00:00 AM
Abstract :
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.
Keywords :
"Fuzzy logic","Programmable control","Fuzzy control","Process control","Error correction","Control systems","Mathematical model","Nonlinear control systems","Automatic control","Learning systems"
Conference_Titel :
Control & Automation, 2007. MED ´07. Mediterranean Conference on
Print_ISBN :
978-1-4244-1281-5
DOI :
10.1109/MED.2007.4433952
