Abstract The paper describes non-linear dynamic, electromechanical model of an overhead travelling crane that contains driving mechanisms of a trolley,
A fuzzy logic controller moves the overhead crane along a desired path while ensuring that the payload is swing-free at the end of the motion. The control
Among other crane systems, the modern overhead crane is increasingly becoming controller, intelligent tuning systems based on the NN and the fuzzy logic
The above model concerning the fuzzy PD-based overhead crane system has been designed and validated with. MATLAB/SIMULINK. The first part of the research was
While the controllers of [15–20] are based on the so-called Single Input Rule Modules Overhead cranes are used in workshops or harbors to trans- (SIRMs) and
A Non-Fuzzy Self-Tuning Scheme of PD-Type FLC for Overhead Crane Control Lee, C.C.: Fuzzy logic in control systems: Fuzzy logic controller—Parts I, II.
an overhead traveling crane, were shown in the paper. as well as intelligent control systems mostly based on fuzzy logic, Mamdani fuzzy inference system
