DocumentCode
2343814
Title
Fuzzy logic approach to the gain scheduling crane control system
Author
Smoczek, Jaroslaw ; Szpytko, Janusz
Author_Institution
Fac. of Mech. Eng. & Robot., AGH Univ. of Sci. & Technol., Krakow, Poland
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
261
Lastpage
266
Abstract
The problem of crane control system is addressed in the paper to gain scheduling system created using the fuzzy controller with Takagi-Sugeno-Kang (TSK) fuzzy implications. The method of fuzzy robust crane control system designing was based on closed-loop crane control systems with conventional proportional-derivative (PD) controllers of crane position and the load swing derived for fixed rope length and mass of a load values, which are used as key-scheduling variables. The set of controllers, scheduled by fuzzy system, are determined using the pole placement method (PPM). The problem of selecting the minimal set of fuzzy system operating points was solved and described as well in the paper.
Keywords
PD control; closed loop systems; cranes; fuzzy control; robust control; Takagi-Sugeno-Kang fuzzy implications; closed-loop crane control systems; fuzzy controller; fuzzy logic approach; gain scheduling; pole placement method; proportional-derivative controllers; robust crane control system; Artificial neural networks; Cranes; Equations; Mathematical model; PD control; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Methods and Models in Automation and Robotics (MMAR), 2010 15th International Conference on
Conference_Location
Miedzyzdroje
Print_ISBN
978-1-4244-7828-6
Type
conf
DOI
10.1109/MMAR.2010.5587226
Filename
5587226
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