Fractional-Order Predictive PI Controller-Based Dead-Time Compensator for Wireless Networks †
Abstract
:1. Introduction
- A solution for compensating prolonged dead-time processes on wired and wireless networks is proposed using a fractional-order predictive PI (FOPPI) compensator.
- The controllers are first set up on wired networks, and then the most effective FOPPI controller is used for wireless network control.
- The FOPPI controller has been tested on various benchmark process models and has demonstrated its ability to reduce peak overshoot, thus maximizing the operating lifespan of control valve actuators.
2. Methodology
3. Results and Discussion
3.1. Process Model
3.2. Performance Analysis
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Abdulrab, H.Q.A.; Hussin, F.A.; Arun, P.S.; Awang, A.; Ismail, I. Simulation and control of industrial composition process over wired and wireless networks. In Proceedings of the International Conference of Reliable Information and Communication Technology; Springer: Berlin/Heidelberg, Germany, 2020; pp. 685–695. [Google Scholar]
- Devan, P.A.M.; Hussin, F.A.; Ibrahim, R.; Bingi, K.; Khanday, F.A. A survey on the application of WirelessHART for industrial process monitoring and control. Sensors 2021, 21, 4951. [Google Scholar] [CrossRef] [PubMed]
- Abdulrab, H.; Hussin, F.A.; Abd Aziz, A.; Awang, A.; Ismail, I.; Devan, P.A.M. Reliable fault tolerant-based multipath routing model for industrial wireless control systems. Appl. Sci. 2022, 12, 544. [Google Scholar] [CrossRef]
- Selvam, A.M.D.P.; Hussin, F.A.; Ibrahim, R.; Bingi, K.; Nagarajapandian, M. Optimal Fractional-Order Predictive PI Controllers: For Process Control Applications with Additional Filtering; Springer Nature: Berlin/Heidelberg, Germany, 2022. [Google Scholar]
- Briones, O.A.; Rojas, A.J.; Sbarbaro, D. Generalized Predictive PI Controller: Analysis and Design for Time Delay Systems. In Proceedings of the 2021 American Control Conference (ACC), New Orleans, LA, USA, 25–28 May 2021; IEEE: Piscataway, NJ, USA, 2021; pp. 2509–2514. [Google Scholar]
- Devan, P.A.M.; Hussin, F.A.; Ibrahim, R.; Bingi, K.; Nagarajapandian, M.; Abdulrab, H. A novel fractional-order dead-time compensating controller for the wireless networks. Sci. Rep. 2023, 13, 17658. [Google Scholar] [CrossRef] [PubMed]
- Euzebio, T.A.; Yamashita, A.S.; Pinto, T.V.; Barros, P.R. SISO approaches for linear programming based methods for tuning decentralized PID controllers. J. Process. Control. 2020, 94, 75–96. [Google Scholar] [CrossRef]
- Hassan, S.M.; Ibrahim, R.; Saad, N.; Bingi, K.; Asirvadam, V.S.; Hassan, S.M.; Ibrahim, R.; Saad, N.; Bingi, K.; Asirvadam, V.S. Filtered predictive Pi controller for wirelesshart networked systems. In Hybrid PID Based Predictive Control Strategies for WirelessHART Networked Control Systems; Springer: Berlin/Heidelberg, Germany, 2020; pp. 27–58. [Google Scholar]
- Bingi, K.; Ibrahim, R.; Karsiti, M.N.; Hassan, S.M.; Harindran, V.R. Real-time control of pressure plant using 2DOF fractional-order PID controller. Arab. J. Sci. Eng. 2019, 44, 2091–2102. [Google Scholar] [CrossRef]
- Marushchak, Y.; Mazur, D.; Kwiatkowski, B.; Kopchak, B.; Kwater, T.; Koryl, M. Approximation of Fractional Order PIλDμ-Controller Transfer Function Using Chain Fractions. Energies 2022, 15, 4902. [Google Scholar] [CrossRef]
Controller | (s) | (s) | %OS | |||
---|---|---|---|---|---|---|
PI | 1.153 | 0.846 | - | 1.1169 | 7.4218 | 23.4846 |
FOPI | 1.153 | 0.846 | 0.98 | 1.1164 | 7.5106 | 22.4738 |
PPI | 1.153 | 0.846 | - | 3.5991 | 7.1305 | 0.0 |
FOPPI | 1.153 | 0.846 | 0.98 | 2.4052 | 5.4801 | 0.0 |
Wireless | 1.153 | 0.846 | 0.98 | 0.8115 | 10.6886 | 43.4261 |
Wireless (Packet Loss) | 1.153 | 0.846 | 0.98 | 0.7020 | 25.6067 | 60.1767 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Devan, P.A.M.; Ibrahim, R.; Omar, M.; Bingi, K.; Abdulrab, H. Fractional-Order Predictive PI Controller-Based Dead-Time Compensator for Wireless Networks. Eng. Proc. 2023, 56, 148. https://doi.org/10.3390/ASEC2023-16581
Devan PAM, Ibrahim R, Omar M, Bingi K, Abdulrab H. Fractional-Order Predictive PI Controller-Based Dead-Time Compensator for Wireless Networks. Engineering Proceedings. 2023; 56(1):148. https://doi.org/10.3390/ASEC2023-16581
Chicago/Turabian StyleDevan, P. Arun Mozhi, Rosdiazli Ibrahim, Madiah Omar, Kishore Bingi, and Hakim Abdulrab. 2023. "Fractional-Order Predictive PI Controller-Based Dead-Time Compensator for Wireless Networks" Engineering Proceedings 56, no. 1: 148. https://doi.org/10.3390/ASEC2023-16581