Journal
NEURAL COMPUTING & APPLICATIONS
Volume 9, Issue 1, Pages 38-43Publisher
SPRINGER VERLAG
DOI: 10.1007/s005210070033
Keywords
crane control; fuzzy logic; modelling; non-linear; rule-base
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A non-linear model for an overhead crane system is derived which takes into account a combination of a trolley and a pendulum. The overall mathematical model obtained is simulated using MATLAB-SIMULINK. Open-loop simulations run on cases depending on whether the air resistance is taken into account or not, and whether the angle of oscillation is small or large, indicate the validity of such model, hence reflecting similar trends in industries which are concerned with material handling equipment. A hand-crafted fuzzy controller, which includes two rule bases, one for position control, the other for sway-angle control, was designed and successfully implemented on the above simulated model. Preliminary results are very encouraging, ann indicate the feasibility of such a two rule base control strategy. The results obtained are presented, analysed anti discussed.
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