Algorithm for non-parametric modeling of the cutting process of dense snow formations with snow plow blade

The paper presents an algorithm for non-parametric modeling of the process of cutting dense snow formations with snow plow blade. The following parameters are used as parameters involved in the model: cutting force components, width, cutting angles and installation of snow plow blade, depth of cut and physicomechanical properties of dense snow formations (density from 400 to 500 kg/m³). The initial data for the construction of the model were the results of experiments conducted on a laboratory model of snow plow blade for snow removal equipment. Optimization of the non-parametric regression model was carried out using evolutionary strategies, and the result was improved by local descent methods. The model is necessary to predict the course of the cutting process in a wide range of changes in the parameters in the process of studying and using it on full-scale real snow removal equipment.