FIELD-ORIENTED CONTROL PERMANENT MAGNET MOTOR SINKRON MENGGUNAKAN ALGORITMA KUNANG-KUNANG

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Published: Jul 31, 2018
DOI: https://doi.org/10.24853/jurtek.10.2.153-160
Keywords:
Motor Sinkron PID Firefly Overshoot Settling time

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Muhammad Ruswandi Djalal
State Polytechnic of Ujung Pandang
Andareas Pangkung
State Polytechnic of Ujung Pandang
Marhatang Marhatang
State Polytechnic of Ujung Pandang
Sonong Sonong
State Polytechnic of Ujung Pandang

Abstract

Penggunaan kontroler PID (Proporsional-Integral-Derivatif) pada sebuah motor sinkron sangat banyak digunakan, karena strukturnya yang sederhana, kokoh yang kuat dan mudah digunakan. Penggunaan kontroler PID diperlukan pengaturan parameter yang tepat untuk kinerja yang optimal pada motor. Solusi yang sering digunakan adalah metode trial-error, untuk menentukan parameter yang tepat untuk PID, namun hasil yang didapat tidak membuat kontroler PID optimal. Belakangan ini sudah banyak penelitian untuk mengoptimasi kontroler PID, salah dengan metode cerdas. Untuk itu pada penelitian ini akan digunakan metode optimasi Algorithm Firefly, untuk mengoptimasi dan menentukan parameter yang tepat dari PID. FA adalah salah satu metode cerdas yang terinspirasi dari perilaku kunang-kunang yang bergerak dimalam hari dengan kebiasaan berkedip, konsep inilah yang diadaptasi dan diterapkan menjadi algoritma cerdas untuk menyelesaikan masalah optimasi. Dari hasil yang diperoleh metode Firefly dapat dengan baik menala parameter PID. Dari hasil yang memiliki metode firefly dapat dengan baik menala parameter PID, sehingga overshoot yang dihasilkan semakin cepat dan waktu settling sangat cepat. Hasil optimasi Kp 0.7417, Ki 0.3588, Kd 0.1. Overshoot yang dihasilkan masing-masing, tanpa control sebesar 43.33 pu, PID Trial sebesar 30.26 pu, dan PID Firefly sebesar 32.1 pu. 

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How to Cite
Djalal, M. R., Pangkung, A., Marhatang, M., & Sonong, S. (2018). FIELD-ORIENTED CONTROL PERMANENT MAGNET MOTOR SINKRON MENGGUNAKAN ALGORITMA KUNANG-KUNANG. Jurnal Teknologi, 10(2), 153–160. https://doi.org/10.24853/jurtek.10.2.153-160
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Vol. 10 No. 2 (2018): Jurnal Teknologi
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Articles

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Author Biographies

Muhammad Ruswandi Djalal, State Polytechnic of Ujung Pandang

Teknik Energi

Andareas Pangkung, State Polytechnic of Ujung Pandang

Teknik Energi

Marhatang Marhatang, State Polytechnic of Ujung Pandang

Teknik Energi

Sonong Sonong, State Polytechnic of Ujung Pandang

Teknik Energi

References

Bansal, U. K., & Narvey, R. Speed control of DC motor using Fuzzy PID controller.

BAZI, S. (2009). Contribution à la Commande Robuste d’une Machine Asynchrone par la Technique PSO «Particle Swarm Optimization. Université de Batna 2.

Bhushan, B., & Singh, M. (2011). Adaptive control of nonlinear systems using bacterial foraging algorithm. International Journal of Computer and Electrical Engineering, 3(3), 335.

Chen, Y., Ma, Y.-j., & Yun, W.-x. (2013). Application of improved genetic algorithm in PID controller parameters optimization. Indonesian Journal of Electrical Engineering and Computer Science, 11(3), 1524-1530.

Djalal, M. R., Ajiatmo, D., Imran, A., & Robandi, I. (2015). Desain Optimal Kontroler PID Motor DC Menggunakan Cuckoo Search Algorithm. SENTIA 2015, 7(1).

Fan, X., Cao, J., Yang, H., Dong, X., Liu, C., Gong, Z., & Wu, Q. (2013). Optimization of PID parameters based on improved particle-swarm-optimization. Paper presented at the Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on.

Katal, N., & Singh, S. K. (2012). Optimal Tuning of PID Controller for DC Motor using Bio-Inspired Algorithms. International Journal of Computer Applications, 56(2).

Liao, W., Hu, Y., & Wang, H. (2014). Optimization of PID control for DC motor based on artificial bee colony algorithm. Paper presented at the Advanced Mechatronic Systems (ICAMechS), 2014 International Conference on.

Precup, R.-E., David, R.-C., Petriu, E. M., Preitl, S., & Rădac, M.-B. (2013). Fuzzy logic-based adaptive gravitational search algorithm for optimal tuning of fuzzy-controlled servo systems. IET Control Theory & Applications, 7(1), 99-107.

Ting, L., Xie, G., & Jing, Z. (2008). The PID parameters tuning based on immune mind evolutionary algorithm. Paper presented at the Control Conference, 2008. CCC 2008. 27th Chinese.