Neural model of conveyor type transport system

Abstract

In this paper, a model of a transport conveyor system using a neural network is demonstrated. The analysis of the main parameters of modern conveyor systems is presented. The main models of the conveyor section, which are used for the design of control systems for flow parameters, are considered. The necessity of using neural networks in the design of conveyor transport control systems is substantiated. A review of conveyor models using a neural network is performed. The conditions of applicability of models using neural networks to describe conveyor systems are determined. A comparative analysis of the analytical model of the conveyor section and the model using the neural network is performed. The technique of forming a set of test data for the process of training a neural network is presented. The foundation for the formation of test data for learning neural network is an analytical model of the conveyor section. Using an analytical model allowed us to form a set of test data for transient dynamic modes of functioning of the transport system. The transport system is presented in the form of a directed graph without cycles. Analysis of the model using a neural network showed a high-quality relationship between the output flow for different conveyor sections of the transport system.

Improvement of methods for description of a three-bunker collection conveyor

“…The issue of modeling the transport system for the general case, assuming the presence of variable transport delays, remained unresolved. The use of the discrete element method [18], a neural network [19,20], and specialized software [21] in modeling a three-bunker collection conveyor can be considered as suggested ways to overcome these difficulties. However, the proposed solutions to the problem require significant computing resources, which limits their practical use for the synthesis of control systems.…”

“…However, the proposed solutions to the problem require significant computing resources, which limits their practical use for the synthesis of control systems. This explains the lack of publications containing methods [18][19][20][21] for constructing models for a collection conveyor scheme with three accumulating bunkers. Another approach to solving the problem is to develop analytical models of a multi-section transport conveyor.…”

“…Substituting the result obtained into (19), the quality criterion for the control problem takes the form:…”

Predicting the Parameters of the Output Flow of Conveyor Systems

“…By a material loading factor of the transport section of 0.5-0.7 [6], transport costs are 20% of the total cost of the extracted material for a medi-um-length transport route (5-15 km) [7]. For the longest transport systems, the length of which usually reaches 100 km [8], the cost of transporting material in-creases in proportion to the length of the transport route. With an uneven loading of the transport system with the material, the load factor of the transport system can significantly decrease, that leads to a significant increase in the specific energy consumption by the material transportation per unit length.…”

“…The development of an analytical model (PiKh-model) of the convey-or section [19] made it possible to design control systems for a multisection conveyor [20]. However, if the number of sections reaches several tens, then the use of an analytical model also leads to computational difficulties [8]. One of the solutions to this problem is the use of a neural network and multiple regression equations to model the transport system.…”