Sliding Model Fuzzy Control for a Bridge Crane

Author(s):  
Shi-jie Dai ◽  
Shu-mei Xiao ◽  
He Huang ◽  
Ting Zhang ◽  
Gang Ren
Keyword(s):  
2011 ◽  
Vol 143-144 ◽  
pp. 293-296 ◽  
Author(s):  
Zhi Hui Zeng ◽  
Liang Li

In recent years, with the development of intelligent control theory, fuzzy control theory has been applied to automatic control of the crane. This paper designs fuzzy anti-swing controller based on the nonlinear mathematical model of bridge crane, and MATLAB/Simulink simulation was carried out. The Simulink experiment proves that location fuzzy controller and angle fuzzy controller show the good anti-swing effect compared with conventional PID controller. The two controllers not only improve response speed times but also improve control accuracy.


2014 ◽  
Vol 7 (4) ◽  
pp. 353 ◽  
Author(s):  
Sohair F. Rezeka ◽  
Essam H. Seddik ◽  
Walid A. Abdelghaffar

2019 ◽  
pp. 19-33 ◽  
Author(s):  
Sergey Viktorovich Ulyanov ◽  
◽  
Nikita Vladimirovich Ryabov ◽  

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