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Published on 8 November 2024
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Tang,T. (2024). Construction and performance analysis of DC servo system based on operational amplifier. Applied and Computational Engineering,101,42-48.
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Construction and performance analysis of DC servo system based on operational amplifier

Tianyu Tang *,1,
  • 1 Huaiyin Normal University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/101/20240953

Abstract

The motivation for researching modelling the severe motor system is its frequent use in applications that demand accurate control of position, speed, or force. Examples include robots and CNC machines, extensively employed and advanced in modern manufacturing processes. The application field of this technology is expanding significantly due to the increasing demand for automation in modern times. In order to achieve seamless integration of the system, using Op-Amp as the central element for signal processing and control is crucial. This research aims to determine the methodology for utilising an operational amplifier (Op-Amp) to construct a model for a direct current (DC) servo motor. Additionally, the research aims to develop a control system and do circuit board simulations.The outcome of this research is to implement theoretical principles into a design model, identify the most appropriate system for this model and develop the corresponding circuit board. This study aims to incorporate a control system to regulate server motors, effectively enhancing the automation process.

Keywords

Sever motor, PID control, modeling, control system, circuit simulation

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Cite this article

Tang,T. (2024). Construction and performance analysis of DC servo system based on operational amplifier. Applied and Computational Engineering,101,42-48.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation

Conference website: https://2024.confmla.org/
ISBN:978-1-83558-691-4(Print) / 978-1-83558-692-1(Online)
Conference date: 12 January 2025
Editor:Mustafa ISTANBULLU
Series: Applied and Computational Engineering
Volume number: Vol.101
ISSN:2755-2721(Print) / 2755-273X(Online)

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