An optimization of fuzzy controller and it's application to overhead crane

Author(s):  
Y. Kijima ◽  
R. Ohtsubo ◽  
S. Yamada ◽  
H. Fujikawa
2011 ◽  
Vol 128-129 ◽  
pp. 1050-1053 ◽  
Author(s):  
Ding Ye ◽  
Wei Jin ◽  
De Cai Li

As for shortcomings of PID and modern control method in crane anti-swing system, we introduce the fuzzy theory to the crane anti-swing on base of analyzing the crane trolley’s moving dynamic model. The cooperation between the position fuzzy controller and swing fuzzy controller achieve the goal. We use the fuzzy control system of self-adjustable quantization factors and scale factors to solve the problem that have the oscillation in limit areas causing the load lasting swing during the trolley moving position control. According to the simulation, it can solve the problem and eliminate the steady-state error completely and improve enhance the adaptivity of system. It can make the trolley reach the designation in 15s and keep the load steady.


2015 ◽  
Vol 26 (7) ◽  
pp. 1555-1560 ◽  
Author(s):  
Leila Ranjbari ◽  
Amir H. Shirdel ◽  
M. Aslahi-Shahri ◽  
S. Anbari ◽  
A. Ebrahimi ◽  
...  

2011 ◽  
Author(s):  
M. A. Ahmad ◽  
M. S. Saealal ◽  
R. M. T. Raja Ismail ◽  
M. A. Zawawi ◽  
A. N. K. Nasir ◽  
...  

Author(s):  
Jamil M. Renno ◽  
Mohamed B. Trabia ◽  
Kamal A. F. Moustafa

This paper presents a novel method for adaptive anti-swing fuzzy logic control for overhead cranes with hoisting. The control action is distributed between three fuzzy logic controllers (FLC’s): trolley controller, hoist controller, and anti-swing controller. A method for varying the ranges of the variables of the three controllers as a function of the crane’s parameters and/or motion variables is presented. Simulation examples show that the proposed controller can successfully drive overhead cranes under various operating conditions.


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