Road printer stepper motor control system based on fuzzy neural product networks
Abstract
Road printer stepper motor control system based on fuzzy neural product networks
Incoming article date: 03.11.2022The 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