Author(s):
- Konokh Igor Serhiiovych, ORCID: https://orcid.org/0000-0001-5930-1957
- Zhulia Artur Romanovych, ORCID: https://orcid.org/0009-0007-4768-2845
- Halenko Anton Yuriiovych, ORCID: https://orcid.org/0009-0000-3668-2355
- Naida Vitalii Volodymyrovych, ORCID: https://orcid.org/0000-0002-6821-2072
DOI: https://doi.org/10.32782/2307-9770.2024.12.02.03
Paper Language: UKR
Abstract
The aim of this work is to improve the efficiency of training and mastering the skills of implementing modern regulators for industrial electromechanical DC executive systems. To achieve this goal, a virtual testbed has been developed that, using mathematical modeling, allows us to study the effect of regulators on transients in an electromechanical system based on an independently excited DC motor. The program includes three different automatic control systems: with proportional-integral-differential controller, with slave control, and with fuzzy controller. For each of these systems, the user can change the parameters of the control object and the settings of the controllers, while observing the transient process on the graphical screen. The virtual testbed was developed as a complement to a physical computerized testbed designed to study digital control systems for automated electric drives. It allows you to study the properties of the adaptive controller independently and remotely, according to your own schedule, while reducing the material costs of training. The simulation of adaptive controllers in a virtual environment is carried out synchronously in real time, and the program ensures that the resulting transients are saved to a text file for all adaptive control systems. To tune the proportional-integral and proportional-integral-differential controllers, the traditional theory of calculating their coefficients is used. As a result of the work performed, the model of a computerized system that implements a virtual training bench for studying speed and position controllers in electric actuators was improved. Unlike existing analogues, this model contains a fuzzy logic module that allows changing the controller coefficients, improving the quality of control and reducing the time for setting up the controllers. The practical value of the work is the creation of a program module in the G language in the LabView environment, which is capable of reproducing the dynamic properties of the electric actuator and analyzing the quality of transients.
Keywords
automatic control systems, adaptive controllers, proportional-integral-differential controllers, fuzzy logic, slave control systems, mathematical modeling, student's independent work
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