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Dergiler / Gazi University Journal of Science Part A: Engineering and Innovation / 2023 / Cilt: 10 Sayı: 3

Genetic Algorithm based PID Tuning Software Design and Implementation for a DC Motor Control System

Zafer ORTATEPE
Sayfa
286–300
Yayın Tarihi
2023-09-29
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The analysis shows that compared to the conventional method, the GA-based PID tuning algorithm is more adaptable to variations in system parameters.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This study presents the software and implementation for proportional-integral-derivative (PID) tuning of a DC motor control system using genetic algorithm (GA).
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Temel Bulgular & Veri:The PID parameters for a specific control structure are optimized using GA in the proposed tuning procedure.
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Sonuç & Katkı:The analysis shows that compared to the conventional method, the GA-based PID tuning algorithm is more adaptable to variations in system parameters.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:DC Motor · Genetic Algorithm · PID Tuning

Abstract

This study presents the software and implementation for proportional-integral-derivative (PID) tuning of a DC motor control system using genetic algorithm (GA). The PID parameters for a specific control structure are optimized using GA in the proposed tuning procedure. Also, integral time absolute error (ITAE) is used as a fitness function to optimize the parameters. The robustness of the control system is compared with conventional mathematical method. Simulations are carried out in MATLAB/Simulink to compare the results of a DC motor control system. Simulation results show that in terms of overshoot, steady-state error, and settling time, GA-based PID tuning approach performed better than conventional method. Additionally, a sensitivity analysis is performed to evaluate how robust the proposed approach is to parameter variations. The analysis shows that compared to the conventional method, the GA-based PID tuning algorithm is more adaptable to variations in system parameters.

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Bu Makaleye Atıf Yap

ORTATEPE, Z. (2023). Genetic Algorithm based PID Tuning Software Design and Implementation for a DC Motor Control System. Gazi University Journal of Science Part A: Engineering and Innovation, Cilt: 10 Sayı: 3, 286–300. https://ajindex.com/articles/966127

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Kaynakça (5)

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  2. Aranza, M. F., Kustija, J., Trisno, B., & Hakim, D. L. (2016). Tunning PID controller using particle swarm optimization algorithm on automatic voltage regulator system. IOP Conference Series: Materials Science and Engineering, 128, 012038. doi:10.1088/1757-899X/128/1/012038
  3. Borase, R. P., Maghade, D. K., Sondkar, S. Y., & Pawar, S. N. (2021). A review of PID control, tuning methods and applications. International Journal of Dynamics and Control, 9(2), 818-827. doi:10.1007/s40435-020-00665-4
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  5. IEEE ANDESCON, Quito, Ecuador. doi:10.1109/ANDESCON50619.2020.9272127 Galotto, L., Pinto, J. O. P., Bottura Filho, J. A., & Lambert-Torres, G. (2007, November 5-8). Recursive least square and genetic algorithm based tool for PID controllers tuning. In: Proceedings of the 2007 International Conference on Intelligent Systems Applications to Power Systems (ISAP), Kaohsiung, Taiwan. doi:10.1109/ISAP.2007.4441623 Ibrahim, O., Yahaya, N. Z. B., & Saad, N. (2016). PID Controller Response to Set-Point Change in DC-DC Converter Control. International Journal of Power Electronics and Drive Systems (IJPEDS), 7(2), 294-302. doi:10.11591/IJPEDS.V7.I2.PP294-302 Islam, Md. T., Karim, S. M. R., Sutradhar, A., & Miah, S. (2020). Fuzzy Logic and PID Controllers for DC Motor Using Genetic Algorithm. International Journal of Control Science and Engineering, 10(2), 37-41. doi:10.5923/J.CONTROL.20201002.03 Jayachitra, A., & Vinodha, R. (2014). Genetic Algorithm Based PID Controller Tuning Approach for Continuous