Research Article

Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies

Volume: 9 Number: 1 March 31, 2023
EN

Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies

Abstract

In this study Proportional-Integral-Derivative (PID) control of brushed DC Motor is analyzed. The parameters of the PID controller are tuned with two different approaches, namely Ziegler-Nichols (ZN) and Particle Swarm Optimization (PSO). The system is tested under sinusoidal disturbance of varying frequencies in order to evaluate and compare disturbance rejection performances. It is shown that PSO approach has clearly higher performance compared with ZN approach for all disturbance frequencies. Simulations are done using Python programming language with trapezoid rule for differentiation and integration. Results are given in both figures and tables. Comments are done on results and future study is planned.

Keywords

References

  1. K. Khandani, A. A. Jalali and M. Alipoor, (2009). Particle Swarm Optimization based design of disturbance rejection PID controllers for time delay systems. IEEE International Conference on Intelligent Computing and Intelligent Systems, pp. 862-866, doi: 10.1109/ICICISYS.2009.5358043.
  2. R. A. Krohling and J. P. Rey, (2001). Design of optimal disturbance rejection PID controllers using genetic algorithms. IEEE Transactions on Evolutionary Computation, 5(1);78-82. doi: 10.1109/4235.910467.
  3. H.E.A.Ibrahima, F.N.Hassan, Anas O.Shomer. (2014) Optimal PID control of a brushless DC motor using PSO and BF techniques. Ain Shams Engineering Journal, 2(5);391-398.
  4. Baoye Song, Yihui Xiao and Lin Xu (2020). Design of fuzzy PI controller for brushless DC motor based on PSO–GSA algorithm, Systems Science & Control Engineering, 8(1);67-77. DOI: 10.1080/21642583.2020.1723144.
  5. Yazgan H, Yener F, Soysal S, Gür A, (2019). Comparison Performances of PSO and GA to Tuning PID Controller for the DC Motor, Sakarya University Journal of Science, 23(2); 162-174.
  6. Ziegler J G, Nichols N B, 1942, Optimum Settings for Automatic Controllers, Transactions of the American Society of Mechanical Engineers, 64(11);759-765.
  7. Akyol S, Alataş B, (2012). Current Swarm Intelligence Optimization Algorithms. Nevşehir University Journal of Graduate School of Natural and Applied Sciences, 1(1);36-50.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

March 31, 2023

Submission Date

November 10, 2022

Acceptance Date

January 17, 2023

Published in Issue

Year 2023 Volume: 9 Number: 1

APA
Gökçe, C. O., Durusu, V., & Unal, R. (2023). Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies. International Journal of Computational and Experimental Science and Engineering, 9(1), 17-19. https://doi.org/10.22399/ijcesen.1202255
AMA
1.Gökçe CO, Durusu V, Unal R. Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies. IJCESEN. 2023;9(1):17-19. doi:10.22399/ijcesen.1202255
Chicago
Gökçe, Celal Onur, Volkan Durusu, and Ridvan Unal. 2023. “Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies”. International Journal of Computational and Experimental Science and Engineering 9 (1): 17-19. https://doi.org/10.22399/ijcesen.1202255.
EndNote
Gökçe CO, Durusu V, Unal R (March 1, 2023) Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies. International Journal of Computational and Experimental Science and Engineering 9 1 17–19.
IEEE
[1]C. O. Gökçe, V. Durusu, and R. Unal, “Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies”, IJCESEN, vol. 9, no. 1, pp. 17–19, Mar. 2023, doi: 10.22399/ijcesen.1202255.
ISNAD
Gökçe, Celal Onur - Durusu, Volkan - Unal, Ridvan. “Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies”. International Journal of Computational and Experimental Science and Engineering 9/1 (March 1, 2023): 17-19. https://doi.org/10.22399/ijcesen.1202255.
JAMA
1.Gökçe CO, Durusu V, Unal R. Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies. IJCESEN. 2023;9:17–19.
MLA
Gökçe, Celal Onur, et al. “Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies”. International Journal of Computational and Experimental Science and Engineering, vol. 9, no. 1, Mar. 2023, pp. 17-19, doi:10.22399/ijcesen.1202255.
Vancouver
1.Celal Onur Gökçe, Volkan Durusu, Ridvan Unal. Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies. IJCESEN. 2023 Mar. 1;9(1):17-9. doi:10.22399/ijcesen.1202255

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