Vol 9, No 14 (2021)
- Year: 2021
- Published: 30.11.2021
- Articles: 10
- URL: https://ogarev-online.ru/2311-2468/issue/view/18203
Full Issue
Application of Various Forms of Simulation Modeling When Debugging ACS Operation Programs
Abstract
Various approaches to simulation models of technological processes and objects, as well as the peculiarities of their application when debugging the software of controllers of automated control systems, are considered. It is proposed to use software models based on programmable logic controllers.
Synthesis of Laws of Movement Control of Objects Along Prescribed Trajectories
Abstract
New algorithms for the synthesis of control laws for the implementation of the motion of a controlled object along a given prescribed trajectory are presented. Two variants of synthesis are considered, using an analytical description of the trajectory of motion and tabular description, illustrated with model examples. The simulation results showed the constructiveness and high efficiency of the synthesis procedure.
Problems of Creating High-Efficiency Sources of Ultraviolet Radiation Based on Heterostructures
Abstract
The main problems of creating highly efficient sources of ultraviolet radiation based on heterostructures are considered in the article. the main physical effects are indicated, limiting the efficiency of the device, such as the effect of current constriction in the vicinity of metal contacts, as well as the phenomenon of total internal reflection of radiation generated in the active region. The list of the following scientific and technical problems is determined, the required solutions for the creation of highly efficient UV radiation sources based on heterostructures with multiple quantum wells.
Spice Macromodel and Simulation of Switching Power Supply for Universal Application
Abstract
The article provides the results of engineering design of universal switching power supply at CAD TINA-TI based on the designed Spice macromodel. A computer imitation design with represented time-diagram is done. A universal and effective schematic design with minimal amount external parts is proposed.
Power Supply of an Electrostatic Filter and a Bactericide UV Fluorescent Lamp from a Rechargeable Battery
Abstract
The article discusses the structural and electrical schematic diagrams of the power source of an electrostatic filter and a bactericidal ultraviolet luminescent lamp from a storage battery with a voltage of +12 V. Modeling of the source operation in the NI Multisim 11 software package has been carried out. A prototype power source has been developed.
Development of a Deep Neural Network Model for Prediction of Natural Processes
Abstract
The article proposes the principles of constructing a deep convolutional neural network model for solving the problem of high-precision forecasting of the development of natural processes, in particular, fires. The developed architecture of the neural network simultaneously integrates spectral and spatial information and consists of several modules: input, convolutional feature extraction, output. The model includes data processing components for accurate and reliable detection of natural processes based on Earth remote sensing materials within the deep neural network models’ repository.
Application of the TM-30 Color Rendering Metric in Lighting Design
Abstract
The article describes the use of the TM-30 color rendering metric for lighting design. Some tools for working with light design are described. Arguments are presented in favor of the need to standardize manufacturers of lighting products according to the new color rendering metric.
Parametric Identification of the Nonlinear Model: a Study of a High-Pressure Sodium Lamp
Abstract
The problem was posed and an algorithm developed for neural network parametric identification of nonlinear dynamic models of objects with a computational experiment on the model by varying the identified parameters. The training samples were formed on its basis, followed by sequential training of two neural networks that bijectively map the parameters of the original model into the output variables of the second neural network. The efficiency of the proposed algorithm is estimated using the example of parametric identification of a nonlinear model of a high-pressure sodium lamp.