Kontrol Kecepatan Putaran Permanent Magnet Synchronous Machine (PMSM) Menggunakan PID, FLC Dan ANFIS
DOI:
https://doi.org/10.30736/je.v4i1.302Keywords:
speed control, Anfis, FLC, PID, permanent magnet synchronous machineAbstract
Permanent Magnet Syschronous Machine (PMSM) has low torque in a number of specific applications, so a good control model is needed. PMSM uses the principle of faraday experiments by turning a magnet in a coil by utilizing another energy source ... When a magnet moves in a coil or vice versa. Turning the engine will change the magnetic force flux in the coil and penetrate perpendicular to the coil so that there is a potential difference between the ends of the coil. That is due to changes in magnetic flux. To get the best control method, a comparison of several speed control models is needed. In this study comparing PMSM speed control without controller, using PID controller, using FLC controller, and using ANFIS controller. From the simulation results show that the best model on ANFIS controller, which is closest to the Speed reff (300 rpm) is ANFIS obtained the round profile with the smallest undershot of 300,015 rpm at t = 0.0055 seconds and steady state at 300.02 rpm at 0.004 seconds, obtained output current profile best on FLC = 3.39 A, while at ANFIS = 3.38 A, the best torque profile (the smallest overshot) is obtained on the ANFIS controller of 0.28 pu, the best voltage profile (most continuous) on the ANFIS controller is 300.03. The results of this study will be continued with the use of other artificial intelligence.
Downloads
References
Ali, M. (2012). Kontrol Kecepatan Motor DC Menggunakan PID Kontroler Yang Ditunning Dengan Firefly Algorithm. Intake : Jurnal Penelitian Ilmu Teknik Dan Terapan, 3(2), 1–10.
Ali, M., Ajiatmo, D., & Djalal, M. R. (2017). Aplikasi Modified-Imperialist-Competitive-Algorithm (MICA) Untuk Merekonfigurasi Jaringan Radial Tenaga Listrik Pada Penyulang Mojoagung. JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA), 1(2), 49–53. https://doi.org/10.21070/jeee-u.v1i2.1020
Ali, M., Hunaini, F., & Hartlambang, G. Y. (2015). Optimisasi Kontrol Kemudi Mobil Listrik Menggunakan Metode Adaptive Neuro-Fuzzy Inference System (ANFIS). Intake : Jurnal Penelitian Ilmu Teknik Dan Terapan, 6(2), 16–34.
Ali, M., Hunaini, F., Robandi, I., & Sutantra, N. (2015). Optimization of active steering control on vehicle with steer by wire system using Imperialist Competitive Algorithm (ICA). In 2015 3rd International Conference on Information and Communication Technology (ICoICT) (pp. 500–503). IEEE. https://doi.org/10.1109/ICoICT.2015.7231475
Arrohman, M., Fajardika, R., Muhlasin, & Ali, M. (2017). Optimasi Frekuensi Kontrol pada Sistem Hybrid Wind-Diesel Menggunakan PID Kontroler Berbasis ACO dan MFA. In SAINTEK II-2017, UB, Malang (pp. 124–127).
Budiman, Ali, M., & Djalal, M. R. (2017). Kontrol Motor Sinkron Permanen Magnet Menggunakan Algoritma Firefly. In SEMANTIKOM 2017, Universitas Madura (pp. 9–16). Retrieved from http://semantikom.unira.ac.id/2017/SEMANTIKOM_2017_paper_3.pdf
Chapman, P. L. (2002). Permanent-Magnet Synchronous Machine Drives. Simulation. https://doi.org/10.1016/j.ecolmodel.2003.09.035
Djalal, M. R., Imran, A., Ali, M., & Setiadi, H. (2017). Modifikasi Desain PID Controller Pada Permanent Magnet Synchronous Motor Dengan Flower Pollination Algorithm. Jurnal Teknik Elektro-ITP, 6(2), 163–169. Retrieved from https://ejournal.itp.ac.id/index.php/telektro/article/view/652
Dripoyono, Henrdo; Candra, Dwi, Septa; Ajiatmo, Dwi;, Budiman, Budiman; Ali, M. (2018). Penggunaan ACO dan FA Dalam Mengoptimalkanasikan Kontroler PID Untuk Shading Parsial pada Photovoltaic. SinarFe7, 1(1), 35–39. Retrieved from https://ejournal.fortei7.org/index.php/SinarFe7/article/view/27
Hartlambang, G. Y., Ali, M., & Raikhani, A. (2015). Unjuk Kerja Kecerdasan Buatan (Artificial Intelligence) Dalam Mengoptimalkan Kecepatan Motor Dc Dengan Menggunakan Metode Imperalistt Competitive Alghorithm (ICA). Intake : Jurnal Penelitian Ilmu Teknik Dan Terapan, 6(1), 51–67. Retrieved from http://ejournal.undar.ac.id/index.php/intake/article/view/368
Jang, J. S. R. (1993). ANFIS: Adaptive-Network-Based Fuzzy Inference System. IEEE Transactions on Systems, Man and Cybernetics, 23(3), 665–685. https://doi.org/10.1109/21.256541
Kadaryono, Ali, M., Muhlasin, & Budiman. (2016). Desain Pengaturan Covernor Menggunakan Proportional Integral Derivative (PID) Pada Sistem Pembangkit Listrik Tenaga Mikro Hidro (PLTMH) Berbasis Particle Swarm Optimization (PSO). Intake : Jurnal Penelitian Ilmu Teknik Dan Terapan, 7(1), 40–54. Retrieved from http://ejournal.undar.ac.id/index.php/intake/article/view/385
Kusuma, D. H., Ali, M., & Sutantra, N. (2017). The comparison of optimization for active steering control on vehicle using PID controller based on artificial intelligence techniques. In Proceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016. Semarang: IEEE Conference. https://doi.org/10.1109/ISEMANTIC.2016.7873803
Kusuma, H., Ali, M., & Sutantra, N. (2017). The comparison of optimization for active steering control on vehicle using PID controller based on artificial intelligence techniques. In Proceedings - 2016 IEEE- International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016. https://doi.org/10.1109/ISEMANTIC.2016.7873803
Morel, F., Rétif, J. M., Lin-Shi, X., & Valentin, C. (2008). Permanent magnet synchronous machine hybrid torque control. IEEE Transactions on Industrial Electronics, 55(2), 501–511. https://doi.org/10.1109/TIE.2007.911938
Nafiardi, Rizqi; Fatkhur, Marsul; Muhlasin, Muhlasin; Askan, Askan; Ali, M. (2018). Optimasi Kontroller CES dan ANFIS Untuk Meredam Osilasi Frekuensi Pada Mikrohidro Berbasis Ant Colony Optimization. SinarFe7, 1(1), 46–51. Retrieved from https://ejournal.fortei7.org/index.php/SinarFe7/article/view/30
Nurohmah, H., Raikhani, A., & Ali, M. (2017). Rekonfigurasi Jaringan Distribusi Radial Menggunakan Modified Firefly Algorithms (MFA) Pada Penyulang Tanjung Rayon Jombang. JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA), 1(2), 13. https://doi.org/10.21070/jeee-u.v1i2.1064
Octavian, Ari; Darmawan, Hofman; Nurohmah, Hidayatul; Ali, M. (2018). Optimasi Dual Axis Tracking Untuk Photovoltaic Berbasis Firefly Algorithm dan Ant Colony Optimization. SinarFe7, 1(1), 177–182. Retrieved from https://ejournal.fortei7.org/index.php/SinarFe7/article/view/59
Rachman, M. F., Muttaqin, S., & Ali, M. (2017). Penggunaan Metode Imperialist Competitive Algorithm (ICA) untuk kontrol Frekuensi pada Wind-Turbine dan Hybrid Wind-Diesel. In SAINTEK II-2017, UB, Malang (pp. 99–102). Malang: Universitas Brawijaya, Malang.
Raikhani, A., Ali, M., Ajiatmo, D., & Budiman. (2016). Desain Optimal Automatic Voltage Regulator Pada Pembangkit Listrik Mikro Hidro Menggunakan Fuzzy Logic Controller. Intake : Jurnal Penelitian Ilmu Teknik Dan Terapan, 7(1), 30–39. Retrieved from http://ejournal.undar.ac.id/index.php/intake/article/view/384
Sivanandam, S. N., Sumathi, S., & Deepa, S. N. (2007). Introduction to fuzzy logic using MATLAB. Introduction to Fuzzy Logic using MATLAB. https://doi.org/10.1007/978-3-540-35781-0
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
