Е-Публикации
Технически университет - София

Abstract: This paper is devoted to an approach for controlling liquid level in a physical tank model using a adaptive gain scheduling PI controller. The new nonlinear grey-box of liquid level in tank is estimated from experimental data. This model is validated in completely working range. It is utilized to develop the linear parameter-varying model that are used to design an adaptive gain scheduling PI controller. The expressions for tuning of controller parameters are derived. The designed controller is implemented on an industrial programmable logic controller to ensure the reliability and relevance of the developed control algorithm. The quality of developed adaptive controller is compared with one of the conventional PI controller.

References

1. Dorf, R.C. and Bishop, R.H. Modern Control Systems. 10th Edition, Prentice-Hall, Englewood Cliffs, NJ.2004.
2. Smith, R.S. and Doyle, J. (1988) The Two Tank Experiment: A Benchmark Control Problem. Proceedings of the American Control Conference, Atlanta, 15-17 June 1988, 403-415. https://doi.org/10.23919/ACC.1988.4790058
3. S Yahya et al. Design and implementation of training module for control liquid level on tank using PID method based PLC. IOP Conf. Series: Material Science and Engineering. 830 032065, 2020 DOI 10.1088/1757-899X/830/3/032065
4. P. Panchal, A. Patel and J. Barve, "PI control of level control system using PLC and LabVIEW based SCADA, " 2015 International Conference on Industrial Instrumentation and Control (ICIC), Pune, India, 2015, pp. 1196-1201, doi: 10.1109/IIC.2015.7150929.
5. H. Yu, "The Design and Realization of PID Liquid Level Control System Based on S7-200 and EM235, " 2010 International Conference on Intelligent Computation Technology and Automation, Changsha, China, 2010, pp. 762-765, doi: 10.1109/ICICTA.2010.800.
6. Short, M. and Selvakumar, A. (2020) Non-Linear Tank Level Control for Industrial Applications. Applied Mathematics, 11, 876-889. doi: 10.4236/am.2020.119057
7. M. A. Ali, A. H. Miry and T. M. Salman, "IoT Based Water Tank Level Control System Using PLC, " 2020 International Conference on Computer Science and Software Engineering (CSASE), Duhok, Iraq, 2020, pp. 7-12, doi: 10.1109/CSASE48920.2020.9142067.
8. Zafer Aydogmus, Implementation of a fuzzy-based level control using SCADA, Expert Systems with Applications, Volume 36, Issue 3, Part 2, 2009, Pages 6593-6597, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2008.07.055
9. Xiao, Q.H., Zou, D.Q. and Wei, P. (2010) Fuzzy Adaptive PID Control of Tank Level. 2010 International Conference on Multimedia Communications, Hong Kong, 7-8 August 2010, 149-152
10. Hannan, Sundas & Sajjad, Muhammad & Zafar, Waheed. (2017). PLC based model predictive control for industrial process control. International Journal of Advanced and Applied Sciences. 4. 63-71. 10.21833/ijaas.2017.06.009.
11. I. A. Shehu and N. A. Wahab, "Applications of MPC and PI controls for liquid level control in coupled-Tank systems, " 2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), Selangor, Malaysia, 2016, pp. 119-124, doi: 10.1109/I2CACIS.2016.7885300.
12. Aboelhassan, A.; Abdelgeliel, M.; Zakzouk, E.E.; Galea, M. Design and Implementation of Model Predictive Control Based PID Controller for Industrial Applications. Energies 2020, 13, 6594. https://doi.org/10.3390/en13246594
13. S. R. Mahapatro, B. Subudhi and S. Ghosh, "Design of a robust optimal decentralized PI controller based on nonlinear constraint optimization for level regulation: An experimental study, " in IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 1, pp. 187-199, January 2020, doi: 10.1109/JAS.2019.1911516.
14. P. Barat and S. Mandal, "Robust Control of Coupled-Tank System using Uncertainty and Disturbance Estimator, " 2021 IEEE Second International Conference on Control, Measurement and Instrumentation (CMI), Kolkata, India, 2021, pp. 128-132, doi: 10.1109/CMI50323.2021.9362

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