Authors: I.Yu. Semykina, M.V. Kiperwasser, I.Yu. Popolzin

Title of the article: Modeling the electric drive for lifting overhead cranes when a load has excessive mass, taking into account the viscous friction in the lifting rope

Year: 2023, Issue: 5, Pages: 3-12

Branch of knowledge: 2.4.2. Electrotechnical complexes and systems (engineering)

Index UDK: 621.313: 621.874

DOI: 10.26730/1816-4528-2023-5-3-12

Abstract: The article discusses the changing processes of the values at the lifting drive of overhead cranes in emergencies associated with lifting a load having a mass exceeding the permissible limit. The purpose of the study is to determine a diagnostic sign for the indirect protection system, which makes it possible to detect an emergency excess weight of the load using information extracted from the measured electric motor currents. Computer simulation was used as the main research method. The mathematical model of the overhead crane drive is described, which is based on a three-mass model with lumped masses, considering the rigidity of the hoisting rope and the rigidity of the support. Additionally, the model is used that takes into account viscous friction in the rope. The simulation results in the Simulink are presented, describing the transients in the overhead crane drive while selecting the slack of the rope, then tensioning the rope until the force in the rope balances the weight of the load, and finally lifting the load with its subsequent lifting. It is shown that at the moment corresponding to the lifting of the load, the instantaneous value of the stator current for a load of excessive mass is higher than for a load of nominal mass, and the difference is sufficient for its detection by standard measuring tools used in an electric drive. Thus, the exceeding the amplitude value of the drive current can be used as a diagnostic sign of an emergency.

Key words: overhead crane drive three-mass mechanical system induction motor dynamic model in the Simulink lift-off stage stator current amplitude

Receiving date: 06.10.2023

Approval date: 30.11.2023

Publication date: 19.12.2023

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