TY - JOUR
T1 - Designing precision fuzzy controller for load swing of an overhead crane
AU - Ranjbari, Leyla
AU - Shirdel, Amir H.
AU - Aslahi-Shahri, M.
AU - Anbari, S.
AU - Ebrahimi, A.
AU - Darvishi, M.
AU - Alizadeh, M.
AU - Rahmani, Rasoul
AU - Seyedmahmoudian, Mohammadmehdi
PY - 2015/10
Y1 - 2015/10
N2 - In this paper, a fuzzy logic controller is designed and proposed for controlling load swing of an overhead crane. To consider a complete model of the plant, the quadratic derivative of state variables is added to the conventional model which causes an extra weighting. The aim of the controller designed is to keep the load angle (ϕ) zero, all the time, which means no physical swinging in the load’s position. The results obtained are compared with the optimal control method, as one of the well-known control techniques, to verify the designed controller. The results show that the designed fuzzy controller is able to dampen the oscillations in the load swing angle and load’s angular velocity, in a reasonable time.
AB - In this paper, a fuzzy logic controller is designed and proposed for controlling load swing of an overhead crane. To consider a complete model of the plant, the quadratic derivative of state variables is added to the conventional model which causes an extra weighting. The aim of the controller designed is to keep the load angle (ϕ) zero, all the time, which means no physical swinging in the load’s position. The results obtained are compared with the optimal control method, as one of the well-known control techniques, to verify the designed controller. The results show that the designed fuzzy controller is able to dampen the oscillations in the load swing angle and load’s angular velocity, in a reasonable time.
U2 - 10.1007/s00521-015-1825-z
DO - 10.1007/s00521-015-1825-z
M3 - Article
SN - 0941-0643
VL - 26
SP - 1555
EP - 1560
JO - Neural Computing and Applications
JF - Neural Computing and Applications
ER -