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
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- 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.
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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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