DEVELOPMENT OF AN ADAPTIVE BELT CONVEYOR CONTROL SYSTEM
Journal Title: International scientific journal Science and Innovation - Year 2024, Vol 3, Issue 5
Abstract
Continuous transport machines, in particular belt conveyors, are used in a wide variety of industries. Such machines are especially effective when used in mechanical engineering, in warehouses, and in the logistics system. In the process of intensifying production, a number of requirements are placed on conveyors in terms of their productivity and the accuracy of cargo positioning. These requirements can only be achieved by adjusting the speed of the electromechanical conveyor system. In turn, the regulation will necessarily cause uneven movement of the conveyor belt and oscillation of the load relative to its equilibrium position. Due to wear and tear of technological equipment, as well as changes in loading patterns, the conveyor is a significantly unstable object, the properties of which change significantly over time. In addition, the electromechanical system of the conveyor is influenced by external disturbances, the nature of which varies from smooth and continuous to sharp and intermittent. All this allows us to conclude that the electromechanical belt conveyor system, from a control point of view, is a non-stationary object. On the other hand, operating experience shows that we get the greatest effect from the operation of cargo transportation systems when regulating the speed of the belt conveyor. For example, energy savings of up to 30%, while increasing the stability of conveyor systems by 10%. Therefore, today the urgent task is to develop a model of an adaptive automatic control system for EMC conveyor belts, taking into account the influence of external disturbing factors, which will limit load fluctuations in combination with high productivity. The article uses materials from a project to automate the conveyor belt system used for transporting air conditioners and refrigerators produced at the enterprises of ARTEL, Tashkent
Authors and Affiliations
Adylov Ya. T. , Nuraliev A. K.
Keywords
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- EP ID EP736801
- DOI 10.5281/zenodo.11205236
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