Desain Hibrid Menggunakan PID-ANFIS Controller Pada Motor DC Berbasis PSO (Particle Swarm Optimization)
DOI:
https://doi.org/10.30736/je-unisla.v6i2.707Keywords:
Anfis, PID controller, PSO, dc motor speedAbstract
DC motors can be used as generators or motors. For this reason, it is necessary to design the best DC motor speed regulation in order to obtain the best optimization. DC motor setting modeling must be adjusted to the DC motor characteristics and setting model. The results of the performance of the DC control model have a different steady-state error, settling time, and overshoot. From the results of running the program, it is found that the PID-PSO-ANFIS hybrid control model produces the best output performance. The results of PID-PSO-ANFIS optimization show that there is no overshot and undershot, settling time is 0.04 seconds, the motor speed reaches a constant and stable state. This design will be developed using artificial intelligence methods and other controllers in order to obtain the best optimization.
Downloads
References
Africa, A. D. M., Abaluna, D. A. P., Abello, A. J. A., & Lalusin, J. M. B. (2020). Feedforward and feedback dc motor control methods of control systems. International Journal of Emerging Trends in Engineering Research, 8(9), 5586–5592. http://doi.org/10.30534/ijeter/2020/109892020
Al Hwaitat, A. K., Almaiah, M. A., Almomani, O., Al-Zahrani, M., Al-Sayed, R. M., Asaifi, R. M., … Alsaaidah, A. (2020). Improved security particle swarm optimization (PSO) algorithm to detect radio jamming attacks in mobile networks. International Journal of Advanced Computer Science and Applications, 11(4), 614–625. http://doi.org/10.14569/IJACSA.2020.0110480
Ali, M., Budiman, Sujatmika, A. R., & Firdaus, A. A. (2021). Optimization of controller frequency in wind-turbine based on hybrid PSO-ANFIS. IOP Conference Series: Materials Science and Engineering, 1034(1), 12070. http://doi.org/10.1088/1757-899x/1034/1/012070
Ali, M., Muhlasin, Nurohmah, H., Raikhani, A., Sopian, H., & Sutantra, N. (2018). Combined ANFIS method with FA, PSO, and ICA as Steering Control Optimization on Electric Car. In 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2018 (pp. 299–304). http://doi.org/10.1109/EECCIS.2018.8692885
El-Sharkawi, M. A., El-Samahy, A. A., & El-Sayed, M. L. (1994). High Performance Drive of DC Brushless Motors Using Neural Network. IEEE Transactions on Energy Conversion, 9(2), 317–322. http://doi.org/10.1109/60.300142
Hartlambang, Y. G., Nurohmah, H., & Ali, M. (2017). Optimasi Kecepatan Motor DC Menggunakan Algoritma Kelelawar (Bat Algorithm). In SEMANTIKOM 2017, Universitas Madura (pp. 1–8). Retrieved from http://semantikom.unira.ac.id/2017/SEMANTIKOM_2017_paper_2.pdf
Khanna, A., & Gaur, T. (2017). Model Predictive Control Of Dc Motor Model In Matlab. International Journal of Scientific & Engineering Research, 8(4), 82–85. Retrieved from http://www.ijser.org
Masrukhan, M. N., Mulyo, M. P., Ajiatmo, D., & Ali, M. (2016). Optimasi Kecepatan Motor DC Menggunakan PID dengan Tuning Ant Colony Optimization (ACO) Controller. Prosiding SENTIA-2016, 8(1), B49–B52.
Noushabadi, A. S., Dashti, A., Raji, M., Zarei, A., & Mohammadi, A. H. (2020). Estimation of cetane numbers of biodiesel and diesel oils using regression and PSO-ANFIS models. Renewable Energy, 158, 465–473. http://doi.org/10.1016/j.renene.2020.04.146
Patel, V. V. (2020). Ziegler-Nichols Tuning Method: Understanding the PID Controller. Resonance, 25(10), 1385–1397. http://doi.org/10.1007/s12045-020-1058-z
Silarbi, S., Tlemsani, R., & Bendahmane, A. (2021). Hybrid PSO-ANFIS for speaker recognition. International Journal of Cognitive Informatics and Natural Intelligence, 15(2), 96–109. http://doi.org/10.4018/IJCINI.20210401.oa7
Wang, D., Tan, D., & Liu, L. (2018). Particle swarm optimization algorithm: an overview. Soft Computing, 22(2), 387–408. http://doi.org/10.1007/s00500-016-2474-6
Downloads
Published
How to Cite
Issue
Section
License
Jurnal JE-UNISLA : Electronic Control, Telecomunication, Computer Information and Power System is licensed under an Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license. You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material for any purpose, even commercially. This license is acceptable for Free Cultural Works.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Copyright
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under an Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Creative Commons License
Jurnal JE-UNISLA : Electronic Control, Telecomunication, Computer Information and Power System by Universitas Islam Lamongan is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at https://jurnalteknik.unisla.ac.id/index.php/CVL/index
