Model And Control For Pellet Distributing Uniformity Of Swing Conveyor Belt System

Pellet production, which high-efficiently makes use of natural resources and saves energy, is a process of artificial enriched ores in the steel industry. Grate-rotary kiln pellet production is widely applied in large integrated iron and steel enterprises. This technology has high requirements both on pellets layer height and uniformity which directly affect the products quality and the roasting equipments life on the grate plate.In this paper, the swing conveyor belt distributing system on the grate-kiln pellet production line in some pellet plant is taken for research background. The distributing system uniformity is analyzed deeply aiming at the problem of the product quality decline, grate plates burnout, etc. Based on geometric analyzing, the reason of layer ununiformity is the unequal pellets weight conveyed by the swing belt, which because the swing belt has different running time in the same horizontal displacement. This thesis designs a uniformity algorithm according to the trend of swing belt should be when it uniformly distribute pellets. Finally the swing belt achieves uniform motion and the distributing requirement by regulating the drive mechanism based on the fitting function, whose data generated from the uniformity algorithm, is fitted by neural network. Given the respond delay of the executive mechanism to the setting signals in the continuous speed control system, inverse control is adopted. Consider the problem in rigorous model, collect large number of data from control object and built the neural network inverse controller.Both the simulation analysis results and the experiment model detection indicate that the uniformity algorithm designed in this paper can solve the problem of distributing ununiformity, meanwhile, the inverse control improves the system tracing performance and promotes the algorithm to practice well in the actual system. Using algorithm in this article can increase pellet production efficiency, prolong device life, reduce the maintenance work of production and finally realize energy saving and consumption reduction.