Interval model of the piezoelectric drive

Voliansky, Roman; Sadovoi, Oleksandr; Volianska, Nina

doi:10.1109/tcset.2018.8336211

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…Based on the assessment of teachers of practical work with the use of such simulators, there is an increase in student achievement to 40% 36 . In addition to the advantages of developing tools for remote learning of mechatronic systems, it is widely known to use a variety of models for preliminary research in the development of new and modernization of existing industrial automatic control systems 37,38 . Pneumatic actuators and manipulators are becoming more common in the development and implementation of pneumatic artificial muscles in bionic work 39 .…”

Section: Literature Reviewmentioning

confidence: 99%

Mechatronic automatic control system of electropneumatic manipulator

Nazarova,

Osadchyy,

Hutsol

et al. 2024

Sci Rep

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Mechatronic systems of electropneumatic automation are one of the main classes of industrial automation systems. A laboratory stand for the study of the mechatronic system of automatic control of the pneumatic manipulator and a computer model for preliminary experiments on the adjustment of the automatic control system were developed. Manual and software control modes are provided for research of indicators of safety and quality of management in both modes. To implement the software control mode, a microcontroller part of the laboratory stand based on ADuC841 was developed, with the help of which it is possible to simulate a part of a certain technological process, to detect and eliminate faults in the automatic control system. A study of automatic control systems using a traditional relay-contactor control system, based on GrafCet technology and using a virtual controller. The combination of computer modeling of technological processes and physical modeling of executive mechanisms is a kind of digital double that displays its state, parameters and behavior in real time. The use of a laboratory stand in combination with an adequate simulation model reduces the complexity of developing control systems for practical applications, and also contributes to the formation of students' creative component, ability to analyze the results, and make decisions in unusual situations, which will increase their theoretical and practical training. The study of mechatronic systems of pneumatic manipulators will allow to increase their efficiency and productivity, to optimize their speed and accuracy for various applications in production. The interaction of mechatronic systems of pneumatic manipulators with other technologies, such as machine learning, artificial intelligence, IoT is the basis for creating more integrated and intelligent systems.

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Section: Literature Reviewmentioning

confidence: 99%

Mechatronic automatic control system of electropneumatic manipulator

Nazarova,

Osadchyy,

Hutsol

et al. 2024

Sci Rep

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“…It is quite clear that equation (10) can have zero, real and complex eigenvalues. Moreover, these eigenvalues can be k-th multiple eigenvalues.…”

Section:   mentioning

confidence: 99%

Parallel mathematical models of dynamic objects

Voliansky

Pranolo

2018

Int. J. Adv. Intell. Informatics

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The paper deals with the developing of the methodological backgrounds for the modeling and simulation of complex dynamical objects. Such backgrounds allow us to perform coordinate transformation and formulate the algorithm of its usage for transforming the serial mathematical model into parallel ones. This algorithm is based on partial fraction decomposition of the transfer function of a dynamic object. Usage of proposed algorithms is one of the ways to decrease calculation time and improve PC usage while a simulation is being performed. We prove our approach by considering the example of modeling and simulating of fourth order dynamical object with various eigenvalues. This example shows that developed parallel model is stable, well-convergent, and high-accuracy model. There is no defined any calculation errors between well-known serial model and proposed parallel one. Nevertheless, the proposed approach’s usage allows us to reduce calculation time by more than 20% by using several CPU’s cores while calculations are being performed.

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