Single Neuron PID Controller for Speed Regulation of Induction Motor on Gamma Irradiator Characterization Prototype and Its Comparison with Classical PID Controller Using the Modified Ziegler-Nichols Method
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Abstract
Induction motor control is a crucial part in the operation of gamma irradiator characterization prototypes, which are used for component testing and operator training. In this system, the induction motor functions as the primary actuator within the automated transport mechanism, therefore the motor's speed and stability greatly affect the accuracy of sample positioning relative to the radiation source. Proportional-Integral-Derivative (PID) controllers are widely used due to their simple structure but have limitations in responding to complex and time-varying system dynamics. To improve control performance, artificial intelligence-based control methods such as the Single Neuron PID (SNPID) have been developed as alternatives, offering adaptive characteristics through dynamic parameter adjustment. This study presents a comparative performance analysis between a PID controller tuned using the Modified Ziegler-Nichols (MZN) method and a SNPID controller in regulating the speed of an induction motor in a gamma irradiator system. Evaluation results show that the SNPID controller with a uniform learning rate of 0.5 and a Hebbian constant of 0.0018 produces faster, more stable, and more adaptive response compared to the MZN-tuned PID controller with a 30° phase margin. These results indicate that the SNPID controller is a more effective choice for motor control systems in gamma irradiation applications that require fast response, high precision, and robustness against disturbances.
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References
Çopur, E. H., Balta, E., & Bilgic, H. H. (2025). Tuning of cascade PID controller gains of quadcopter under bounded disturbances using metaheuristic based research algorithm. The Aeronautical Journal, 2025, 1–23.
Damayanti, R., Syawaludin, B., & Gunawan, H. A. (2022). Design of PI and PID control system for induction motor control on gamma irradiator characterization prototype using a modified Ziegler-Nichols method. Journal of Electrical Technology UMY (JET-UMY), 6(2), 1–10.
Edaris, Z. L., & Abdul-Rahman, S. (2016). Performance comparison of PID tuning by using Ziegler-Nichols and particle swarm optimization approaches in a water control system. Journal of Information and Communication Technology, 15(1), 203–224.
Feng, W.-H. (2022, January 7–9). Brushless DC motor control based on improved single neuron PID algorithm. In Proceedings of the 2nd International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2022) (pp. 697–700). Guilin, China.
Indiarto, R., Pratama, A. W., Sari, T. I., & Theodora, H. C. (2020). Food irradiation technology: A review of the uses and their capabilities. International Journal of Engineering Trends and Technology, 68(12), 91–98. https://doi.org/10.14445/22315381/IJETT-V68I12P216
Jacobs, G. P. (2021). Validation of the radiation sterilization of pharmaceuticals. In Handbook of Validation in Pharmaceutical Processes: Fourth Edition (pp. 355–373). CRC Press. https://doi.org/10.1201/9781003163138-22
Kepala Pusat Rekayasa Fasilitas Nuklir. (2018). MP01-CE-IRG2018-RFN.4, Manual Program Prototipe Karakterisasi Iradiator Gamma. Badan Tenaga Nuklir Nasional (BATAN).
Kepala Pusat Rekayasa Fasilitas Nuklir. (2019). MP001-CE-IRG2019-RFN.4, Manual Program Prototipe Karakterisasi Iradiator Gamma Tahap II (No. 021, pp. 1–25). Badan Tenaga Nuklir Nasional (BATAN).
Koubaa, M., Barba-Orellana, S., Roselló-Soto, E., & Barba, F. J. (2016). Gamma irradiation and fermentation. In Food Engineering Series (pp. 143–153). Springer. https://doi.org/10.1007/978-3-319-42457-6_7
Kusumoputro, B., & Rif'An, M. (2016, December 14–16). Performance characteristics of an improved single neuron PID controller using additional error of an inversed control signal. In Proceedings of the 2015 World Congress on Industrial Control Systems Security (WCICSS 2015) (pp. 58–62). London, United Kingdom. IEEE. https://doi.org/10.1109/WCICSS.2015.7420324
Luo, Q., Liu, D., Song, S., Yang, W., & Qiao, Z. (2021, October 10–11). Research on artificial intelligence technology in electrical automation control. In IOP Conference Series: Earth and Environmental Science, 632(4), 042085. 2020 Asia Conference on Geological Research and Environmental Technology (GRET 2020), Kamakura City, Japan. https://doi.org/10.1088/1755-1315/632/4/042085
Mao, Q., & Ge, S. (2020, December 18–20). A parallel nonlinear control system of improved generalized predictive control and single neuron PID based on U-model. In Proceedings of the 2020 7th International Conference on Information Science and Control Engineering (ICISCE 2020) (pp. 1595–1599). Changsha, China. IEEE. https://doi.org/10.1109/ICISCE50968.2020.00315
O'Hara, K. (2012). Gamma ray technology for food irradiation. In Food Irradiation Research and Technology: Second Edition (pp. 29–46). Wiley-Blackwell. https://doi.org/10.1002/9781118422557.ch3
Satmoko, A., Gunawan, H. A., Rozali, B., & Budiyono, W. (2017, November 21–23). Komisioning awal prototip iradiator Gamma Merah Putih dengan aktivitas sumber Cobalt-60 sebesar 300 KCi. In Seminar Pendayagunaan Teknologi Nuklir 2017, Tangerang Selatan, Indonesia: Badan Tenaga Nuklir Nasional (BATAN).
Sobhan, P. V. S., Nagesh Kumar, G. V., Amarnath, J., & Subbarao, M. (2014). Stabilization of active magnetic bearing system using single neuron PID controller. ARPN Journal of Engineering and Applied Sciences, 9(7), 1149–1155.
Syawaludin, B., Gunawan, H. A., & Tukiman. (2021). Pembuatan program kendali pergerakan tote pada frame simulator iradiator menggunakan PLC Omron seri CJ2M-CPU13. PRIMA, 18(1), 1–10.
Welander, P., & Vandoren, V. (2010, February 1). Understanding derivative in PID control. Control Engineering, 57(2).
Xue, D., Chen, Y., & Atherton, D. P. (2008). Linear Feedback Control: Analysis and Design with MATLAB. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM).