The problem of controlling stepper motors of a road printer using the method of neuro-fuzzy control is considered. An algorithm for developing an intelligent control system for stepper motors is described. A training sample is obtained according to the data of variables determined as a result of modeling an automatic control system with a continuous proportional-integral-differentiating (PID) regulator. Training of the adaptive neuro-fuzzy output system by the hybrid method was performed using the MATLAB program. Transient characteristics of the control system with continuous and neuro-fuzzy PID regulators have been built. Direct indicators of the quality of the considered control systems of stepper motors have been determined, and an analysis of these results has been carried out. The use of neuro-fuzzy-PID control of stepper motors made it possible to obtain a high-quality transient process, confirmed as a result of a computational experiment.
Keywords: Road printer, stepper motor, travel printer, stepper motor, transfer function, adaptive neuro-fuzzy output system
To provide protection class Br1, С and S2 (not less than 550 m/s) GOST 34286-2017 "Armor clothing. Classification and general technical requirements "use soft armored packages, consisting of several layers of aramid fabric of various surface densities and types of weaving. The most promising are armored packages consisting of fabric weaving, with a surface density of 0.130 kg/m2 and higher.
Keywords: soft armor pack, protection class Br1, protection class C, protection class S2 (not less than 550 m/s) armor protection, ballistic protection, aramid fabric, individual armor protection equipment
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