Improving DC Voltage Regulation using Optimal PID Controller Based on Particle Swarm Optimization Algorithm
DOI:
https://doi.org/10.31272/ajece.08Keywords:
DC Regulation, PID Controller, Particle Swarm Optimization(PSO), Dynamic Response, Rise Time, Settling Time, Overshoot, MATLAB.Abstract
Regulated direct current (DC) is essential for numerous applications like renewable energy systems, electronics, and transportation. Achieving accurate, stable, and responsive DC regulation presents a significant challenge. This paper investigates the implementation of a Proportional-Integral-Derivative (PID) controller and explores its parameter tuning using the Particle Swarm Optimization (PSO), and Gray wolf optimization GWO methods. The dynamic response characteristics of PID based on controller is compared against both a conventional PID controller tuned by Ziegler-Nichols tuned method and gray wolf optimization (GWO) algorithm. The dynamic response characteristics of PID based on controller is compared against both a conventional PID controller tuned by Ziegler-Nichols tuned method and gray wolf optimization (GWO) algorithm through simulations in MATLAB 2020. Simulation results demonstrate that the PSO-tuned PID controller achieves superior performance with significant improvements in key metrics. The rise time is drastically reduced from 5.4978e-04 seconds to 4.6743e-10 seconds, the settling time drops from 0.0075 seconds to 8.323e-10 seconds, and the overshoot is effectively eliminated, approaching near zero. This work highlights the advantages of PSO-based PID tuning for achieving precise and efficient DC regulation.
References
Ali Q. Al-Shetwi, P. J. Ker, M. A. Hannan, M. F. Roslan and A. W. M. Zuhdi. "Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system", PloS one, vol.15(12) , 2020. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757891/
Alshory, I., Jamaaluddin, J., Wisaksono, A. Sulistiyowati, I., Rintyarna, B. S., Fudholi, A., & Sopian, K. "Optimization DC-DC boost converter of BLDC motor drive by solar panel using PID and firefly algorithm", Results in Engineering, vol. 21, 2024). https://www.sciencedirect.com/science/article/pii/S259012302300854X
N. Safwan, K. Ola, H. Ghassan; A.Bassam; Haes Alhelou, Hassan, "Steady state analysis of modern industrial variable speed drive systems using controllers adjusted via grey wolf algorithm & particle swarm optimization", Heliyon, 6(11), 2020. doi:10.1016/j.heliyon.2020.e05438 .
M. Zalani Daud, A. Mohamed, and M. A. Hannan "An Optimal Control Strategy for DC Bus Voltage Regulation in Photovoltaic System with Battery Energy Storage", Hindawi Publishing Corporation, the Scientific World journal, Volume 2014, 2014. doi:10.1155/2014/271087.
Ali Q. Al-Shetwi, P. J. Ker, M. A. Hannan, M. F. Roslan and A. W. M. Zuhdi. "Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system", PloS one , vol.15(12), e0243581, 2020 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0243581
Hasanien, Hany M., Z. Ullah, M. Alharbi, Zaki, Dina A. and Sameh, Mariam A.. "Hybrid Driving Training and Particle Swarm Optimization Algorithm-Based Optimal Control for Performance Improvement of Microgrids", mdpi , com, Energies, 16(11) , 2023. https://www.mdpi.com/1996-1073/16/11/4355
R. Kumar, H. Om Bansal, A. R. Gautam, O. Prakash Mahela, and B. Khan, " Experimental Investigations on Particle Swarm Optimization Based Control Algorithm for Shunt Active Power Filter to Enhance Electric Power Quality", IEEE Access, vol.10, pp: 54878 – 54890, doi: 10.1109/ACCESS.2022.3176732.
Muhanad D. Almawlawe, Marko Kovandzic, " A Modified Method for Tuning PID Controller for Buck- Boost Converter", International Journal of Advanced Engineering Research and Science (IJAERS), vol.3, Issue.12, 2016, pp: 20-26, https://dx.doi.org/10.22161/ijaers/3.12.4.
Yau, P.-H. Yu, and Y.-H. Su, “Design and Implementation of Optimal Fuzzy PID Controller for DC Servo Motor,” Appl. Math. Inf. Sci., vol. 8, no. 1L, pp. 231–237, Apr. 2014, doi: 10.12785/amis/081L29.
M. D. Hashim Almawlawe, H. Naji, M. Talib Al-Sharify, Musa Wali , " A GWO-PID controller with advanced optimization features for DC-DC converters", Al-Qadisiyah Journal for Engineering Sciences, vol.16, Issue.4,2023, pp: 228-232, doi:org/10.30772/qjes.2023.180482.
A. Basu, S. Mohanty, and R. Sharma, “Designing of the PID and FOPID controllers using conventional tuning techniques,” in 2016 International Conference on Inventive Computation Technologies (ICICT), Coimbatore, India: IEEE, Aug. 2016, pp. 1–6. doi: 10.1109/INVENTIVE.2016.7824789.
W. F. W. Tarmizi et al., “A Particle Swarm Optimization-PID controller of a DC Servomotor for Multi-Fingered Robot Hand,” in 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA), Ipoh, Malaysia: IEEE, Sep. 2016, pp. 1–6. doi: 10.1109/ROMA.2016.7847837.H.-T.
L. Xu, Y. Wang, Y. Li, J. Zhao, and M. Liu, “Research on Control Strategy of APSO-Optimized Fuzzy PID for Series Hybrid Tractors,” World Electr. Veh. Journal, vol. 14, no. 9, p. 258, doi: 10.3390/wevj14090258.
D. Mitic, D. Antic, M. Milojković, S. Nikolić, S. Perić , "Input-Output Based Quasi-Sliding Mode Control of DC-DC Converter", Facta Universities, Ser: Elec. Energ., (2012). vol. 25, no. 1, pp. 69-80, doi: 10.2298/FUEE1201069M.
Norman S. Nise, " Control System Engineering", sixth edition, John Wiley & Sons, Inc., (2011), pp. 482-486.
S. Gupta, R. Gupta, " PSO and PSO-BFO Based Tuning of PID Controller: A Comparative Evaluation", International Journal of Emerging Technology and Advanced Engineering, vol. 4, Issue. 5, May 2014, pp: 748-754.
Tae-Hyoung Kim, Ichiro Maruta and Toshiharu Sugie, “ Robust PID controller tuning based on constrained particle swarm optimization,” Automatica, vol. 44,no.4 , 2008, pp. 1104-1110. doi: 10.1016/j.automatica.2007.08.017.
W. Fokui and E. Rene. "A quantum particle swarm optimization-based optimal LQR-PID controller for load frequency control of an isolated power system", Journal of Engineering and Applied Science, vol.70(1), 2023. https://jeas.springeropen.com/articles/10.1186/s44147-023-00271-z
H. Mustapha, F. Khoucha, and A. Harrag "GA-based robust LQR controller for interleaved boost DC-DC converter improving fuel cell voltage regulation" ,Electric Power Systems Research, vol.152, 2017, p: 438-456.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Dr. Muhanad D. Hashim Almawlawe, Hassan Hamed Naji , Dr. Ali Khalid jassim, Dr. Musa Hadi Wali (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
