期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：17
页码：3510-3519
出版社：Journal of Theoretical and Applied
摘要：A system is a structure composed of mechanical, electrical or electromechanical parts that interact with each other to fulfill an objective. At an industrial level they are known as manufacturing processes and at an academic level these processes are emulated by implementing mechanisms such as: designing scale prototypes, building test and trial laboratories or developing specialized simulators. However, the efforts made by the authors to build scale or simulated prototypes that are an ideal copy of the real process are not perfect. On the one hand, some real physical implementations reduce the margin of error by improving the quality of the prototype materials, but as the quality of the materials increases, so does their cost, which reduces accessibility to the population. On the other hand, the simulators do not perfectly emulate characteristics of the environment, such as humidity, temperature, vibrations, among others, which reduces its reliability in the presentation of the results obtained. Therefore, this article proposes a strategy to virtualize a QUANSER SRV-02 rotary servo base unit, which from experimental data reconstructs a mathematical model using a Genetic Algorithm (GA), which minimizes the margin of error between experimental and practical data. This tool will allow virtual practices (simulation) with results very close to the behavior of the real plant.
