RFID-ENHANCED PREDICTIVE PID CONTROL FOR DC LOAD OPTIMIZATION
DOI:
https://doi.org/10.14456/tisr.2025.20Keywords:
Predictive PID Control, RFID Technology, DC Load, Intelligent Solid State Relay ManagementAbstract
This research presents the development of a predictive PID control system that integrates RFID sensor technology to enhance the efficiency of DC load control through intelligent solid-state relays. The PN532 RFID sensor dynamically adjusts the PID controller parameters according to the system’s operational status. The experimental results indicate that setting the optimal PID parameters (Kp = 2.5, Ki = 0.03, Kd = 0.15) significantly reduces overshoot, steady-state error, and settling time. The system maintains a speed error of less than 1 RPM at the target speed of 150 RPM. It improves control stability by ensuring the Relay ON condition remains constant for 75-85% of the operation time. This enhancement minimizes relay state switching, reduces equipment wear, and extends the system lifespan. Additionally, the system incorporates safety measures for industrial applications, particularly in a 350 mL drinking water conveyor belt system, which automatically ceases operation if the sensor fails to detect a working signal, thereby preventing potential operational hazards. This study demonstrates an effective integration of RFID technology with an intelligent PID control system, offering a robust solution for improving DC load control efficiency, minimizing energy waste, and establishing a new standard for developing high-precision industrial control systems while enhancing workplace safety.
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Ambareen, J., Prabhakar M, & Ara, T. (2020). Edge Data Security for RFID-based Devices. A paper presented at the 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics, Bengaluru, India.
Ang, K., Chong, G., & Li, Y. (2005). PID control system analysis, design, and technology. IEEE Transactions on Control Systems Technology, 13(4), 559-576.
Brinker, K., & Zoughi, R. (2022). A Review of Chipless RFID Measurement Methods, Response Detection Approaches, and Decoding Techniques. IEEE Open Journal of Instrumentation and Measurement, 1, 8000331.
De Amorim, R., Barbot, N., Siragusa, R., Trehoult, C., Lyannaz, L., & Perret, E. (2022). Design and Manufacture of Resonant Chipless Tags in Millimeter-Wave Band. A paper presented at the IEEE 12th International Conference on RFID Technology and Applications, Cagliari, Italy.
Du, H., Peng, X., Yang, G., & Yang, X. (2024). Design of RFID-based weight sorting and transportation robot. Paladyn, Journal of Behavioral Robotics, 15, 20240001.
Guo, X., Lin, Z., Yang, D., Yang, Y., Jiang, L., & Liu, Y. (2024). Experimental evaluation on PID-based adaptive longitudinal ventilation control of tunnel fire smoke. Journal of Wind Engineering and Industrial Aerodynamics, 254, 105884.
Hage-Ali, S., Mengue, P., Paulmier, B., Maufay, J., Youbi, U., & Floer, C. (2023). SAW-RFID Sensors for Industrial Applications. A paper presented at the IEEE 13th International Conference on RFID Technology and Applications, Aveiro, Portugal.
Hsieh, T., & Smith, S. (2024). An innovative AR-assisted self-adjusting digital twin for speed control of a servomechanism. Computers & Industrial Engineering, 193, 110328.
Ji, J., Miao, C., Li, X., & Liu, Y. (2020). Research on speed control algorithm of belt conveyor based on controllable parameter PSO-PID. A paper presented at the 7th International Conference on Information Science and Control Engineering, Changsha, China.
Joelianto, E., Nadhira, V., Hammami, H., & Hariyadi. (2021). Cyber-Physical Systems-Based PID Controller for Three Interacting Tank Process Level Control. IOP Conference Series: Materials Science and Engineering, 1096, 012064.
Juraj, D., Gabriel, G., Roman, B., Ivan, S., & Peter, H. (2023). A Low-Power Data Logger with Simple File System for Long-Term Environmental Monitoring in Remote Areas. IEEE Sensors Journal, 23, 1-18.
Mostaccio, A., Amendola, S., Occhiuzzi, N., Martinelli, E., & Marrocco, G. (2023). Ultra-low power RFID-based wake-up architectures for wireless sensor networks in industrial plants. A paper presented at the IEEE 13th International Conference on RFID Technology and Applications, Aveiro, Portugal.
Previtali, D., Pitturelli, L., Ferramosca, A., & Previdi, F. (2024). Model-based design of the temperature controller of a shrink tunnel. IFAC-PapersOnLine, 58(14), 49-54.
Rahman, M., Rafsy, Y., Sarker, M., & Shahjalal, M. (2024). Design of a PID Controller-Based Permanent Magnet DC Motor Driven Conveyor Belt System for Industrial Automation. A paper presented at the 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems, Dhaka, Bangladesh.
Rugo, A., Ardagna, C., & El Ioini, N. (2022). A Security Review in the UAVNet Era: Threats, Countermeasures, and Gap Analysis. ACM Computing Surveys, 55(1), 1-35.
Shen, G., Zhang, J., Wang, X., & Mao, S. (2024). Federated Radio Frequency Fingerprint Identification Powered by Unsupervised Contrastive Learning. IEEE Transactions on Information Forensics and Security, 19, 9204-9215.
Sugumar, S., Aishwarya, V., Govardhan, B., Gowtham, S., & G Hariharan. (2023). Asset Tracking and Monitoring Using RFID Technology for Industries. A paper presented at the 7th International Conference on Design Innovation for 3 Cs Compute Communicate Control, Karnataka, India.
Wang, L., Mao, W., Wu, C., Chang, A., & Lian, Y. (2016). A fast transient LDO based on dual loop FVF with high PSRR. A paper presented at the IEEE Asia Pacific Conference on Circuits and Systems, Jeju, Korea (South).
Widodo, S., Amin, M., Sutrisman, A., Cofriyanti, E., & Puji, R. (2020). Implementation of Parking Portal Door Security System Using RFID and Password Based on Microcontrollers in Sriwijaya State Polytechnic. Journal of Physics: Conference Series, 1500, 012114.
Zhang, D., Zhang, Y., Yue, Y., Zhou, M., Yuan, C., & Li, C. (2024). Optimal design of robust control for belt conveyor systems based on fuzzy dynamic model and Nash game. Journal of the Franklin Institute, 361(11), 106925.
Zhang, X., Xia, D., Fu, Z., Wang, G., & Xu, D. (2018). An Improved Feedforward Control Method Considering PLL Dynamics to Improve Weak Grid Stability of Grid-Connected Inverters. IEEE Transactions on Industry Applications, 54(5), 5143-5151.
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