Fuzzy controllers in the control system of a brushless electric motor using HIL technology

This article proposes a method for creation of a control system for a brushless electric motor based on a fuzzy logic apparatus. The use of a fuzzy controller in this case can increase stability and improve the quality of the system under consideration, which was implemented in the Simulink environment using HIL technology. This technology increases the chances of successfully passing the test phase, considering the control system in prototype

Методические указания к выполнению курсового проекта по дисциплине "Финансовый учет-1"

Важное место в обучении студентов специальности "Учет и аудит" отводится курсовому проекту по дисциплине "Финансовый учет", при выполнении которого студенты закрепляют теоретические знания, приобретают практические навыки работы. Целью данного курсового проекта является расширение, систематизация и закрепление теоретических знаний, полученных студентами на лекциях и практических занятиях, а также выработки у студентов навыков. Проект предусматривает использование единых исходных данных о составе средств и источниках их формирования, хозяйственных операциях условного предприятия. Это позволяет приблизить учебный процесс к реальной практике бухгалтерского учета на предприятиях

Modeling of Energy Release at the Final Stage of the Meteoroid Movement

The paper continues to build upon the author’s previous research on fireballs fragmentation. A model of the sudden explosive destruction of the cosmic body at the height of the maximum flash is used. After the fragmentation, the kinetic energy of the moving particles of a meteoroid passes into the thermal energy of the gas volume inwhich their motion takes place. The temperature of a gas cloud calculated analytically using energy conservation lawand equations of physical theory of meteors. The mass distribution of fragments was taken from the literature. The high temperature of the gas in a cloud allows us to talk about the phenomenon of a "thermal explosion"

Multi-robot system learning based on evolutionary classification

This paper presents a novel machine learning method for agents of a multi-robot system. The learning process is based on knowledge discovery through continual analysis of robot sensory information. We demonstrate that classification trees and evolutionary forests may be a basis for creation of autonomous robots capable both of learning and knowledge exchange with other agents in multi-robot system. The results of experimental studies confirm the effectiveness of the proposed approach