TY - GEN
T1 - A general anti-swing fuzzy controller for an overhead crane with hoisting
AU - Trabia, Mohamed B.
AU - Renno, Tamil M.
AU - Moustafa, Kamal A.F.
PY - 2006
Y1 - 2006
N2 - Several fuzzy control schemes of overhead cranes have been proposed. Most of these schemes are valid for a specific crane configuration only. Extensive experimentation is needed to apply such schemes to a different crane. This paper presents an approach for automatically creating anti-swing fuzzy logic controllers for two-dimensional overhead cranes with hoisting. Inverse dynamics and desired motion parameters of the overhead crane are used to determine the ranges of the variables of the controllers. The control action is divided into two phases. In the first phase, two fuzzy logic controllers (FLCs) drive the system toward its final destination: travel controller and hoist controller. The second phase is initiated after this point. It includes an anti-swing controller in addition to the travel and hoist controllers. The simulation example presented shows that the proposed controller can successfully drive overhead cranes under various operating conditions.
AB - Several fuzzy control schemes of overhead cranes have been proposed. Most of these schemes are valid for a specific crane configuration only. Extensive experimentation is needed to apply such schemes to a different crane. This paper presents an approach for automatically creating anti-swing fuzzy logic controllers for two-dimensional overhead cranes with hoisting. Inverse dynamics and desired motion parameters of the overhead crane are used to determine the ranges of the variables of the controllers. The control action is divided into two phases. In the first phase, two fuzzy logic controllers (FLCs) drive the system toward its final destination: travel controller and hoist controller. The second phase is initiated after this point. It includes an anti-swing controller in addition to the travel and hoist controllers. The simulation example presented shows that the proposed controller can successfully drive overhead cranes under various operating conditions.
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U2 - 10.1109/FUZZY.2006.1681777
DO - 10.1109/FUZZY.2006.1681777
M3 - Conference contribution
AN - SCOPUS:34250744084
SN - 0780394887
SN - 9780780394889
T3 - IEEE International Conference on Fuzzy Systems
SP - 627
EP - 634
BT - 2006 IEEE International Conference on Fuzzy Systems
T2 - 2006 IEEE International Conference on Fuzzy Systems
Y2 - 16 July 2006 through 21 July 2006
ER -