Mechatronic Systems Research Articles

Математична модель підвищення якості управління мехатронною системою мікроклімату салону автомобіля

An analysis of studies of microclimate control systems in the car interior was carried out and the requirements for climatic comfort of the space surrounding a person during the operation of the vehicle were formulated. The necessity of forming a climate comfort control system as a mechatronic system of a car, which has increased speed, consistency and accuracy of adjusting the values for its determination, is substantiated. A list of indicators is proposed that most accurately take into account the cumulative effect on climatic comfort in a multi-zone working space and allow to improve the quality of functioning of the mechatronic microclimate control system of the car interior. A mathematical model for improving the quality of control of the mechatronic system of the car interior microclimate has been developed. The model describes a multidimensional nonlinear electropneumomechanical control object and its structure. The dynamic properties of digital tracking drives based on direct current collector motors, which are part of the executive part of the mechatronic system for controlling the climate comfort of the car interior, were studied. An algorithm for implementing the model in the Matlab Simulink environment has been developed, which allows for detailed computer modeling of the control processes of the mechatronic climate comfort system in order to increase its accuracy and speed. The principles of forming a multi-channel regulator of a mechatronic system based on inverse models are proposed. These principles reflect the static properties of the non-linear control object and increase the coherence of the reactions of the channels of the car interior microclimate control system.

ИСПОЛЬЗОВАНИЕ МАШИННОГО ОБУЧЕНИЯ ДЛЯ АНАЛИЗА ДАННЫХ В СИСТЕМАХ МЕХАТРОНИКИ

The article discusses the use of machine learning methods for data analysis in mechatronics systems. The main approaches, such as supervised learning, unsupervised learning and reinforcement learning, are described, as well as their application in diagnostics, control optimization and energy consumption reduction. The main challenges associated with the implementation of machine learning in mechatronic systems are highlighted, including issues of model interpretability and the need to process large amounts of data. In conclusion, the prospects for the development of hybrid methods that can improve the efficiency and reliability of mechatronic systems are discussed.

The C&C² Approach as a Thinking Tool in Mechatronic Systems

In recent times, interest in cross-domain system modeling has seen a significant increase. Despite the proven success of the Contact and Channel Approach (C&C2-Approach) in mechanical system modeling, a procedure for cross-domain applications has been largely absent. In this research, we discuss how mechatronic systems can be modeled with the C&C2-Approach. Based on extensive literature research, which allowed us to identify cross-domain reference models, we are introducing the integration of bond graphs into the C&C2-Approach. The principles of bond graph theory make it possible to represent embodiment function relations (EFRs) in non-mechanical domains. For this purpose, only a few extensions to the key elements of the C&C2-Approach are required: On the one hand, the information about the predominant direction of the energy flow is integrated into the C&C2-Model, while, on the other hand, we add the information about whether the EFR is static or dynamic. These adaptations offer the further possibility of building a bridge to mathematical models. At this point, a bond graph can be derived from the C&C2-Model and used to analyze the systems’ behavior in a simulation. This research therefore supports developers in modeling mechatronic systems and enables simulations at an early stage of product development.

An Object-Oriented Approach to the Modular Design of Mechatronic Systems

The design of modern mechatronic systems involves multidisciplinary and high-level integration, creating challenging and complex tasks for industrial designers and engineers. Their development requires intricate interaction between heterogeneous subsystems, and necessitates coordinated trans-sectoral cooperation between mechanical, electronic, and software engineers. Although efforts have been made to create efficient methods to guide the design of mechatronic systems, no existing solutions solve the complexity of design problems experienced during their design. This article, therefore, proposes a structured step-by-step approach to guide the design of mechatronic systems using an object-oriented methodology. Three information streams are employed that flow through the logical layers of a mechatronic system to track requirements and define modular specifications during the design process. The proposed approach benefits those developing mechatronic systems by improving collaboration, minimizing errors, reducing chances of design failure, and helping meet the desired functionality and goal of multidisciplinary integration. To evaluate the proposed approach and demonstrate the practicability of the systematic framework, we present a case study of a library book returning system. Our results highlight the capability of the proposed approach to guarantee top–down consistency and traceability of derived specifications among logical layers and contribute to the successful integration of requirements during the design process of mechatronic systems.

ЭНЕРГОМЕНЕДЖМЕНТ В МЕХАТРОННЫХ СИСТЕМАХ: ОПТИМИЗАЦИЯ ЭНЕРГОПОТРЕБЛЕНИЯ РОБОТОВ

The article discusses methods for optimizing energy consumption in mechatronic sys-tems, with a special emphasis on robotics. Energy management strategies are presented, including en-ergy-optimized trajectory planning, dynamic energy management, and architectural approaches to sys-tem design. An analysis of the factors affecting energy consumption is carried out, and solutions are proposed to improve energy efficiency without compromising performance. The results demonstrate that the proposed methods can significantly reduce energy consumption, increasing the autonomous opera-tion time of robots. In conclusion, possible directions for further research in the field of integrating ma-chine learning methods and hybrid approaches to energy management are discussed.

Mechatronics system for solving SuDoKu puzzle based on Cartesian robot

The article describes an original solution of a mechatronic device with a Cartesian robot and a character recognition system for autonomous solving the SuDoKu puzzle. The device demonstrates the use of intelligent mechatronic devices for tasks that are difficult to algorithmize. The work contains a description of the mechanical executive system, including the motor apparatus of the system, a description of the electrical and information subsystem, and the software responsible for controlling the device in question. The OCR system operation principle, responsible for recognizing and locating characters on the SuDoKu board, is explained in the article. It also presents how to find a solution using the Backtracking algorithm. The results of testing the correct operation of the designed mechatronic system and estimating the execution time of individual test tasks are presented here.

An evaluation of the examples of mobile smart agriculture applications in Turkiye

The technological process of agricultural mechanization has evolved from mechanical, hydraulic, and pneumatic structures to electrical-electronic and mechatronic systems. With the addition of digital technologies in recent years, agricultural mechanization tools have had functions as time-independent, non-spatial, and unmanned. Agricultural production technologies are now equipped with integrated systems with the Internet of Things, cloud informatics, image processing, wireless data transmission, and mobile-portable devices. Today, during the production process, physical, biological, or chemical data detected through sensors from plants, animals, soil, and atmosphere are uploaded to computers and cloud informatic technologies as big data sets. The data is presented to decision-makers via mobile devices connected to the internet. Within the scope of this study, examples of mobile-portable applications used in the field of smart agriculture in the world and our country were generally examined. In addition, technological and sectoral applications for mobile smart agriculture in our country have been taken over. Currently, common application examples of the Ministry of Agriculture and Forestry, and some private sector companies, that produce these technologies and provide them for the end users, have also been researched in this context. In addition to these, the strengths and weaknesses of the current portable mobile applications in agricultural production have been tried to be analyzed in terms of our country’s conditions.

Automated Configuration of Optimized Customer Specific Mechatronic Systems Using Behavior Models

The diversity of component manufacturers' product portfolios is often one of their greatest assets, as it allows them to offer appropriate solutions to a wide variety of customers. However, this diversity is also one of the greatest challenges, as it often makes it nearly impossible to design an optimal mechatronic system by manually selecting components. This is where the Digital Twin of the components can help. By providing behavior models and relevant information, existing optimization algorithms can be used to optimize for system-relevant key performance indicators enabling an automated system design process. The method presented in this paper is validated for a vacuum gripping systems.

РАЗВИТИЕ МЕХАТРОНИКИ КАК ФАКТОР ПОВЫШЕНИЯ ИННОВАЦИОННОЙ ПРИВЛЕКАТЕЛЬНОСТИ

The article is devoted to the role of mechatronics in the context of increasing innovation attractiveness. The fundamentals of mechatronics, its impact on innovative progress in various industries, as well as development trends and challenges facing this field are described. Examples of successful implementation of mechatronic systems are given, which makes it possible to assess their contribution to modern technological development. The research is aimed at identifying the prospects of using mechatronics to create new innovative products and solutions.

ОПТИМИЗАЦИЯ ПРОЕКТИРОВАНИЯ МЕХАТРОННЫХ СИСТЕМ С ИСПОЛЬЗОВАНИЕМ, ИНТЕГРИРОВАННЫХ CAD/CAE ИНСТРУМЕНТОВ

The article discusses methods for optimizing the design process of mechatronic systems using integrated CAD/CAE tools. In the context of the growing complexity and interdisciplinary nature of mechatronic systems, the integration of CAD/CAE technologies is becoming a key element in reducing development time, reducing errors at the design stage and improving the quality of the final product. Based on the analysis of modern approaches and examples from industrial practice, the article presents the advantages of using integrated solutions, and discusses possible directions for further research.

Reluctance Based Actuator for Discrete Machine Hammer Peening

In machine hammer peening, an actuator system moves a ram in oscillating motion, which is oriented in angular position, preferably perpendicular, to a workpiece surface. On the tip of the ram, a hammer head with application specific shapes can be mounted. The hammer head is moved across the targeted workpiece surface area by means of a machine tool or an industrial robot. The impacts in defined patterns enable modifications of the surface integrity like smoothing the surface roughness or increasing fatigue strength by induced compressive residual stresses. This paper presents a novel DC-driven actuator system using a highly dynamic short-stroke linear reluctance motor to provide a time or trigger controlled hammer head movement including a system for process monitoring. In contrast to conventional systems, Deterministic Impact Peening (DIP) can be realized by position or speed related triggering of the impacts. The reluctance-based actuator with its geometrically optimized mechatronic system design provides performance characteristics favorable to known machine hammer peening systems. The position-controlled triggering of the hammer head is able to achieve uniform or defined local elastoplastic deformations on the workpiece surface, thus resulting in deterministic residual stress distributions.

Intelligent Fault Diagnosis Framework of Mechatronics Systems on High Resolution Sensory Data

Intelligent Fault Diagnosis Framework of Mechatronics Systems on High Resolution Sensory Data

Digital Triads as Next-Generation Mechatronic Systems for Sustainability—A Case Study

Digital Triads as Next-Generation Mechatronic Systems for Sustainability—A Case Study

МОДУЛЬНЫЕ МЕХАТРОННЫЕ СИСТЕМЫ: АРХИТЕКТУРА, ПРОЕКТИРОВАНИЕ И ПРИМЕНЕНИЕ

The article is devoted to the study of modular mechatronic systems (MMS), which play a key role in modern technologies due to their flexibility and adaptability. The main aspects of the architecture are considered, including the modular principle of construction, integration of components and scalability. The design process of such systems is described, including the selection and development of modules, their integration and testing. Examples of MMS application in various industries, such as industry, medicine and transport, are given. The advantages and disadvantages of MMS, as well as promising areas for further research and development of new technologies are analyzed.

ПРИМЕНЕНИЕ МЕХАТРОНИКИ В ПРОИЗВОДСТВЕ И АВТОМАТИЗАЦИИ

The article is devoted to the study of the application of mechatronics in production and automation. The main principles of mechatronic systems, their integration into production processes, the use of robotics, sensor technologies and adaptive control systems are considered. Methods for increasing the energy efficiency and sustainability of mechatronic systems are analyzed, including the introduction of renewable energy sources and heat recovery technologies. Modern innovations such as artificial intelligence, 3D printing and the Internet of Things are discussed. Examples of successful application and forecasts for the development of technologies are given, and the economic and practical benefits and challenges associated with the integration of mechatronics into production are assessed.

Methodical Support for Identifying and Selecting Data and Analysis Tools in the Data-Driven Development of Complex Mechatronic Systems

Current research shows that analyzing usage data from reference systems holds a high potential for product development. The process model for data-driven validation of systems of objectives supports developers in performing such data analyses. However, developers still struggle in the process of identification and selection of data and analysis tools. Thus, this work aims to develop methodical support in this process. nine expert interviews are conducted from which 15 influencing factors on the process are identified. Based on this methodical support is derived. For successful process execution, three areas of expertise are identified that must be covered regarding development domain, data, and conducting analysis. Developers have differing skills and thus require distinct levels of assistance in different process stages. To guarantee support to as many developers as possible while ensuring applicability and efficiency, five personas are derived covering frequently occurring expertise patterns. Furthermore, metadata documentation is identified as a central lever to reduce complexity in handling data, which in turn decreases dependency on experts. Thus, a consumer-focused data catalog concept is developed. Activity profiles are used to guide developers through the process while providing support at different stages as needed. Finally, the evaluation of the solution by conducting workshops with 15 developers shows an improvement of 41.7 percent in task accomplishment.

Model-Free Prescribed-Time Control Under Input Amplitude and Rate Saturations for Uncertain Mechatronic Systems With Mismatched Disturbances

Model-Free Prescribed-Time Control Under Input Amplitude and Rate Saturations for Uncertain Mechatronic Systems With Mismatched Disturbances

Fault Detection Based on Causal Discovery and Graph Convolutional Network for Complex Mechatronic Systems

Fault Detection Based on Causal Discovery and Graph Convolutional Network for Complex Mechatronic Systems

АНАЛИЗ ВИБРАЦИЙ И ИХ ВЛИЯНИЕ НА РАБОТУ МЕХАТРОННЫХ СИСТЕМ

The paper considers vibration as a critical factor affecting the performance of mechatronic systems. The study covers the nature and sources of vibrations, their effects on various components and on the accuracy of system functioning. Techniques for modeling vibration processes are described, as well as ways to minimize them, including the application of shock absorbers and active control. The results of experimental studies are presented and the prospects for further developments in the field of vibration protection of mechatronic systems are analyzed.

Scaffolding Models in a Project-Based Learning Course- A Case Study

The study investigates the impact of establishing the different scaffolding models toward better percolation of knowledge and skills required to build a functional prototype in a first-year engineering Project Based Learning course. To facilitate students to design and build a mechatronics system, scaffolding students at various project phases is crucial. To cater to the need, scaffolding by the teacher all the time for all the project phases for a large classroom of students was challenging. Thus, there was a need to establish multiple scaffolding models to effectively scaffold students without burdening the teacher. This motivated the authors to establish the five scaffolding models. Data was collected from students and teachers involved in the course to measure the effectiveness of scaffolding models. Student data was collected through focus group discussion, while an interview was carried out with faculty to capture the data. The results reveal that designing multiple scaffolding models helped students to get just in time help to complete the projects and resulted in better design skills. The paper's outcomes help educators design scaffolding models for the PBL course in engineering for a large classroom. Keywords— Design Problems; Engineering Design Process; First-Year Engineering; Project-Based Learning (PBL); Prototyping skills; Scaffolding.