Authors: V.V. Dmitrieva, D.V. Dzyuin

Title of the article: Mathematical and computer model of a multi-mass multi-motor electric drive system of a belt conveyor

Year: 2024, Issue: 2, Pages: 3-12

Branch of knowledge: 09.05.03 Electrotechnical complexes and systems

Index UDK: 621.313: 621.874

DOI: 10.26730/1816-4528-2024-2-3-12

Abstract: This article is devoted to mathematical and computer modelling of a multi-motor electric drive of a belt conveyor in order to study the operation of the electrical circuit and the dynamic properties of a multi-mass mechanical system. The object of the research is a 2L100U–01 mine belt conveyor with a two-drum three-motor asynchronous reduced electric drive. The conveyor belt model is obtained by piecewise linear approximation, which results into a system of 7 the second kind Lagrange differential equations corresponding to 7 concentrated parameters of the system. To obtain detailed information about the operation of the electrical and mechanical parts of the electric drive, asynchronous motors and gearboxes are modeled as multi-mass system. In the Simulink graphic environment of the MATLAB application, using the Specialized Power Systems library for electrical components, a computer model of the multi-motor electromechanical system is designed, including a power supply network, asynchronous motors, gearboxes, drive drums and a 2L100U-01 conveyor belt. The simulation results illustrate the oscillatory nature of the belt speed and the drive torque in steady state, as well as the slip of the belt in starting mode. The paper concludes of the need to use controlled electric drive system, including smooth start and individual direct torque control of each drive motor. The authors set further tasks for the synthesis of an automatic control system for a multi-motor frequency-controlled electric drive of a belt conveyor.

Key words: belt conveyor multi-motor electric drive electromechanical system multi-mass system drive pulley reducer piecewise linear approximation modelling MATLAB/Simulink

Receiving date: 15.02.2024

Approval date: 15.04.2024

Publication date: 06.06.2024

CITE DOWNLOAD