COMPUTER MODELING OF AN AUTOMATIC LIQUID LEVEL CONTROL SYSTEM
DOI:
https://doi.org/10.55640/Keywords:
Automatic control system, liquid level regulation, computer modeling, simulation, dynamic response, system stability.Abstract
This article presents the development and computer modeling of an automatic liquid level control system. The study focuses on the design of a control algorithm that ensures stable operation of the system under varying conditions. A computer simulation was performed to analyze the dynamic response, control accuracy, and system stability. The results demonstrate that the proposed control system provides efficient regulation of the liquid level, minimizes oscillations, and responds effectively to disturbances. The study highlights the practical application of computer modeling in designing automated control systems and emphasizes the advantages of simulation in predicting system behavior before physical implementation.
Downloads
References
1.Ogata, K. (2010). Modern Control Engineering (5th ed.). Prentice Hall.
2.Li, Y., & Zhang, H. (2015). Simulation-based design of liquid level control systems. International Journal of Control and Automation, 8(4), 45–56.
3.Khan, M., Ahmed, S., & Ali, R. (2016). Performance analysis of PID controllers for liquid level systems. Journal of Process Control, 38, 12–22.
4.Ahmed, F., & Hussein, M. (2017). Fuzzy logic-based adaptive control for nonlinear liquid level systems. IEEE Transactions on Industrial Electronics, 64(9), 7352–7360.
5.Smith, J., & Brown, L. (2014). Computer modeling and simulation of dynamic control systems. Simulation Modelling Practice and Theory, 44, 1–15.
6.Chen, T., Li, W., & Zhao, X. (2018). MATLAB/Simulink-based intelligent liquid level control system design. International Journal of Automation and Computing, 15(5), 502–514.
7.Patel, R., & Mehta, P. (2019). Automated control systems in industrial processes: Simulation and implementation. Journal of Automation and Control Engineering, 7(3), 210–218.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

Germany
United States of America
Italy
United Kingdom
France
Canada
Uzbekistan
Japan
Republic of Korea
Australia
Spain
Switzerland
Sweden
Netherlands
China
India