This article is dedicated to the analogy systems of physical quantities and their graph models in determining the parameters of mechatronic modules. It presents the general sets and fundamental laws of analogy systems of physical quantities and their elements for determining the parameters of mechatronic modules. Based on the general sets and fundamental laws of analogy systems of physical quantities and their elements, principles have been developed for mechatronic modules with a heterogeneous structure consisting of electrical, magnetic, and mechanical parts. In these modules, the field as a form of matter exists, forming the basis for developing mathematical models to determine the state modes of fields and circuits. The article also provides primary and auxiliary analogy relations for the electric and magnetic fields and circuits of mechatronic modules, classifying them into static fields, static circuits, and dynamic circuit quantities. Based on this classification, a mathematical description scheme for performing operations in spatial coordinates of the mechatronic module is constructed. Additionally, a graph model expressing the interconnection of set elements of quantities is presented, based on the mathematical description scheme for performing operations in spatial coordinates to determine the parameters of the mechatronic module. Determining the parameters of mechatronic modules, analogy systems of physical quantities, and their graph models serve as the basis for creating energy and information converters, sensors, and various other technical elements and devices.
| Mualliflar | Temurbek Omonboevich Rakhimov, Elmira Eshmurod qizi Raxmanova, Guzal Khujaniyazova |
|---|---|
| Jurnal | Кимёвий технология. Назорат ва бошқарув |
| Nashr sanasi | 2025-12-28 |
| Jild | 2025 |
| Son | 6 |
| Betlar | 47-58 |
| Til | en |
| DOI | 10.59048/2181-1105.1696 |
DOI: 10.59048/2181-1105.1696 · Maqolaning asl sahifasi
The article examines methods for improving self-diagnostics of consumption measurement systems based on artificial intelligence in the context of industry digitalization and the development of cyber-physical systems. It…
In modern digital systems, efficient and reliable information exchange is essential for the stability of corporate systems. Traditional data management models struggle to detect and eliminate invalid, incomplete data at…
Owing to its resilience to visual noise and viewpoint variations, skeleton-based analysis has become a cornerstone of human action recognition research. Despite its practical significance, existing methodologies often…
The article proposes a new analytical method for investigating nonlinear magnetic circuits with a special structure of parameter distribution. The method is based on introducing into the system of nonlinear differential…
This paper presents a Fuzzy-SPT (Fuzzy Set-Point Tracking) controller designed to combine the strengths of FLC (Fuzzy Logic Control) and PID (Proportional-Integral-Derivative) control while mitigating their limitations…
This article examines the problem of detecting and predicting industrial equipment faults using IoT sensor data through machine learning techniques. Sensor readings such as temperature, vibration, pressure, voltage, and…
The article examines the problems and prospects of creating discrete fiber-optic liquid level gauges. Functional diagrams of single-channel and multi-channel discrete fiber-optic liquid level meters are presented…
This article proposes a comprehensive approach to training process operators, based on computer simulators integrated with digital twins, SCADA/DCS systems, real production data, and artificial intelligence algorithms…
The article examines modern approaches to modernizing vegetable oil refining processes from the perspective of increasing energy efficiency, environmental friendliness, and final product quality. Traditional and…
This paper presents a critical review of modern control methods applied to industrial gas-fired furnaces. Conventional PID controllers and their advanced modifications, including Advanced Process Control (APC) and…