Algoritma Persaingan Imperialis Sebagai Optimasi Kontroler PID dan ANFIS Pada Mesin Sinkron Magnet Permanen Imperialist Competitive Algorithm As PID Optimization and ANFIS Controller at Permanent Magnet Synchronous Machine

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Published: Apr 25, 2019
DOI: https://doi.org/10.21070/jeee-u.v3i1.2023
Keywords:
Artificial Intelligence, ANFIS, Imperialist Competitive Algorithm, PID Controller, Permanent Magnet Synchronous Machine

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Machrus Ali
Universitas Darul ulum
Agus Raikhani
Universitas Darul ulum
Budiman Budiman
Universitas Darul Ulum
Hendi Sopian
Universitas Darul Ulum

Abstract

Permanent Magnet Syschronous Machine (PMSM) has low torque, so good control is needed to be stable quickly. PMSM uses the principle of faraday experiments which is rotating a magnet in a coil or vice versa. When a magnet moves in a coil, there is a change in magnetic flux in the coil and penetrates perpendicular to the coil so that there is a potential difference between the ends of the coil, regarding this due to changes in magnetic flux. Magnetic flux can be changed by moving a magnet in a coil or vice versa by utilizing other energy sources. To get a good optimization result, the right control constants are needed. So that the best output is obtained. To get the right constants, a suitable and good method is needed, including using artificial intelligence. In this study using the Imperialist Competitive Algorithm (ICA) method. From the simulation results it was found that the best controller design in this study was ANFIS-ICA with the best profile, torque profile, voltage profile, and rotation profile. The largest current is 2.45 A, the smallest overshot torque is 0.48 pu, the largest voltage frequency is 9.84 khz, and the best rotation (close to the reference) is 700.02 rpm. The results of this study will be continued with the use of other artificial intelligence.

Article Details

Issue
Vol 3 No 1 (2019): April
Section
Control System

Copyright (c) 2019 Machrus Ali, Agus Raikhani, Budiman Budiman, Hendi Sopian

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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

[1] M. N. Masrukhan, M. P. Mulyo, D. Ajiatmo, and M. Ali, “Optimasi Kecepatan Motor DC Menggunakan Pid Dengan Tuning Ant Colony Optimization (ACO) Controller,” in SENTIA-2016, Polinema, Malang, 2016, pp. B49–B52.

[2] M. Ali and M. Muhlasin, “Auto-Tuning Method for Designing Matlab DC Motor Speed Control With PID (Proportional Integral Derivative),” ADRI Int. J. Sci. Eng. Technol., vol. 1, no. 2, pp. 5–8, 2017.

[3] M. Ali, I. Umami, and H. Sopian, “Particle Swarm Optimization (PSO) Sebagai Tuning PID Kontroler Untuk Kecepatan Motor DC,” Intake J. Penelit. Ilmu Tek. Dan Terap., vol. 7, no. 1, pp. 10–20, 2016.

[4] F. Morel, J. M. Rétif, X. Lin-Shi, and C. Valentin, “Permanent magnet synchronous machine hybrid torque control,” IEEE Trans. Ind. Electron., vol. 55, no. 2, pp. 501–511, 2008.

[5] P. L. Chapman, “Permanent-Magnet Synchronous Machine Drives,” Simulation, 2002.

[6] Budiman, M. Ali, and M. R. Djalal, “Kontrol Motor Sinkron Permanen Magnet Menggunakan Algoritma Firefly,” in SEMANTIKOM 2017, Universitas Madura, 2017, pp. 9–16.

[7] M. Ali, “Kontrol Kecepatan Motor DC Menggunakan PID Kontroler Yang Ditunning Dengan Firefly Algorithm,” Intake J. Penelit. Ilmu Tek. Dan Terap., vol. 3, no. 2, pp. 1–10, 2012.

[8] G. Y. Hartlambang, M. Ali, and A. Raikhani, “Unjuk Kerja Kecerdasan Buatan (Artificial Intelligence) Dalam Mengoptimalkan Kecepatan Motor Dc Dengan Menggunakan Metode Imperalistt Competitive Alghorithm (ICA),” Intake J. Penelit. Ilmu Tek. Dan Terap., vol. 6, no. 1, pp. 51–67, 2015.

[9] M. F. Rachman, S. Muttaqin, and M. Ali, “Penggunaan Metode Imperialist Competitive Algorithm (ICA) untuk kontrol Frekuensi pada Wind-Turbine dan Hybrid Wind-Diesel,” in SAINTEK II-2017, UB, Malang, 2017, pp. 99–102.

[10] M. Ali, Soedibyo, and I. Robandi, “Desain Pitch Angle Controller Turbin Angin Dengan Permanent Magnetic Synchronous Generator (PMSG) Menggunakan Imperialist Competitive Algorithm (ICA),” in SENTIA-2015, Polinema, Malang, 2015, pp. B128–B131.

[11] M. R. Djalal, M. Ali, H. Nurohmah, and D. Ajiatmo, “Aplikasi Algoritma Differential Evolution untuk Desain Optimal Load Frequency Control pada Pembangkit Listrik Tenaga Hibrid Angin dan Diesel,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 5, p. 511, 2018.

[12] M. Arrohman, R. Fajardika, Muhlasin, and M. Ali, “Optimasi Frekuensi Kontrol pada Sistem Hybrid Wind-Diesel Menggunakan PID Kontroler Berbasis ACO dan MFA,” in SAINTEK II-2017, UB, Malang, 2017, pp. 124–127.

[13] Kadaryono, M. Ali, Muhlasin, and Budiman, “Desain Pengaturan Covernor Menggunakan Proportional Integral Derivative (PID) Pada Sistem Pembangkit Listrik Tenaga Mikro Hidro (PLTMH) Berbasis Particle Swarm Optimization (PSO),” Intake J. Penelit. Ilmu Tek. Dan Terap., vol. 7, no. 1, pp. 40–54, 2016.

[14] A. Raikhani, M. Ali, D. Ajiatmo, and Budiman, “Desain Optimal Automatic Voltage Regulator Pada Pembangkit Listrik Mikro Hidro Menggunakan Fuzzy Logic Controller,” Intake J. Penelit. Ilmu Tek. Dan Terap., vol. 7, no. 1, pp. 30–39, 2016.

[15] M. Ali, F. Hunaini, I. Robandi, and N. Sutantra, “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), 2015, pp. 500–503.

[16] “Imperialist competitive algorithm,” Intell. Syst. Ref. Libr., vol. 62, pp. 203–209, 2014.

[17] J. S. R. Jang, “ANFIS: Adaptive-Network-Based Fuzzy Inference System,” IEEE Trans. Syst. Man Cybern., vol. 23, no. 3, pp. 665–685, 1993.