RESEARCH OF THE BRIDGE CRANE LABORATORY MECHATRONIC COMPLEX

The article presents the Bridge Crane laboratory mechatronic complex designed to research the functional aspects and methods of operating real cranes. The main attention is paid to the complex design including the mechanisms for moving along the X, Y axes and lifting cargo along the Z axis, as well as to the control system based on the programmable logic controller (PLC) of the Schneider Electric Quantum series. Particular importance is given to the analysis of modern control methods: classical and adaptive algorithms that dynamically adjust parameters depending on the weight of the load, on the length of the suspension and on external disturbances. Hybrid methods with machine learning elements, viz. the use of neural networks to predict fluctuations, and their limitations related to computational load are considered. The complex allows testing and comparing various algorithms, including control based on the criterion of minimum energy, which contributes to the development of universal industrial solutions. The model includes modern components: an SMD-1.8 driver for stepper motors, a BMD unit for DC motors, and a positioning system without feedback sensors. The results demonstrate the potential of adaptive systems and design optimization to improve crane accuracy, safety, and energy efficiency.