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Abstract
— This study developed a hydroponic control system to regulate nutrient concentration (PPM) and water volume using a Proportional-Integral (PI) controller. The PI controller was chosen for its simplicity and effectiveness in systems that do not require fast response times. A trial-and-error method was used to tune the Kp and Ki values, which were implemented in an ATMega328 microcontroller. The system consists of one AC pump and two DC pumps: DC Pump-1 controls the PPM by supplying liquid fertilizer, while DC Pump-2 regulates the water volume. The results showed that modifying the PI controller with an integrator limitation improved performance. For PPM control, a limit of 13000 with Kp = 2 and Ki = 0.01 resulted in a 0.5% error, 56.8-second rise time, and a 4.8% overshot. For water level control, a limit of 12000 with Kp = 100 and Ki = 0.16 yielded a 3.25% error, 2% overshot, and a 65.4-second rise time. The test results demonstrated that the use of AB Mix can be reduced by up to 26% compared to a conventional PID, with an initial PPM value of around 350.
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References
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- M Shetty, H., Pai K, K., Mallya, N., & Pratheeksha. (2021). Fully Automated Hydroponics System for Smart Farming. International Journal of Engineering and Manufacturing, 11(4), 33–41. https://doi.org/10.5815/ijem.2021.04.04
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- Thakur, P., Malhotra, M., & Bhagat, R. M. (2023). IoT-based Monitoring and Control System for Hydroponic Cultivation: A Comprehensive Study. https://doi.org/10.21203/rs.3.rs-2821030/v1
- Wang, L. (2020). PID Control System Design and Automatic Tuning Using MATLAB/Simulink.
- Yong, W. X., & Ibrahim, A. N. (2020). Field Study of PID Parameter Tuning Investigation in Peristaltic Dosing Pump Control for Use in Automated Fertilizer Mixing System. Mekatronika, 2(2), 13–22. https://doi.org/10.15282/mekatronika.v2i2.6742
References
Ariananda, B., Nopsagiarti, T., Mashadi, D., Program, M., Agroteknologi, S., Pertanian, F., Program, D., Islam, U., & Singingi, K. (2020). Pengaruh Pemberian Berbagai Konsentrasi Larutan Nutrisi Ab Mix Terhadap Pertumbuhan Dan Produksi Selada (Lactuca Sativa L.) Hidroponik Sistem Floating. Green Swarnadwipa : Jurnal Pengembangan Ilmu Pertanian, 9(2), 185–195. https://ejournal.uniks.ac.id/index.php/GREEN/article/view/750
Chowdhury, M., Ali, M., Rasool, K., Jeong, J. H., Choi, C. H., Han, M. W., Ko, H. J., & Chung, S. O. (2021). Identification of PID parameters for system-specific nutrient mixing control for ISE-based hydroponic nutrient management. Acta Horticulturae, 1312(June), 567–574. https://doi.org/10.17660/ActaHortic.2021.1312.80
Edaroyati, P., Wahab, M., Che-othman, M. H., & Al-, A. R. M. (2024). Managing Nitrogen Toxicity in the Soilless Culture System : A Review. 15(1985), 11–26.
Fakhrurroja, H., Mardhotillah, S. A., Mahendra, O., Munandar, A., Rizqyawan, M. I., & Pratama, R. P. (2019). Automatic pH and Humidity Control System for Hydroponics Using Fuzzy Logic. 2019 International Conference on Computer, Control, Informatics and Its Applications (IC3INA), 156–161. https://doi.org/10.1109/IC3INA48034.2019.8949590
Huba, M., Chamraz, S., Bisták, P., & Vrančić, D. (2021). Making the PI and PID Controller Tuning Inspired by Ziegler and Nichols Precise and Reliable. Sensors, 21, 6157. https://doi.org/10.3390/s21186157
Krasilnikov, P., & Taboada, M. A. (2022). Fertilizer Use , Soil Health and Agricultural Sustainability. 16–20.
Kularbphettong, K., Ampant, U., & Kongrodj, N. (2019). An Automated Hydroponics System Based on Mobile Application. International Journal of Information and Education Technology, 9(8), 548–552. https://doi.org/10.18178/ijiet.2019.9.8.1264
Kurniawan, E. (2020). Analysis and Simulation of PI and PID Control Systems Using Xcos Scilab. Journal of Technomaterials Physics, 2, 108–116. https://doi.org/10.32734/jotp.v2i2.5402
Lorenzetti, P., & Weiss, G. (2023). Saturating PI Control of Stable Nonlinear Systems Using Singular Perturbations. IEEE Transactions on Automatic Control, 68(2), 867–882. https://doi.org/10.1109/TAC.2022.3147167
Lumpur, K., Motakabber, S. M. A., Lumpur, K., Alam, A. H. M. Z., Lumpur, K., Nordin, N., & Lumpur, K. (2020). Adaptive PID Controller Using for Speed Control of the BLDC Motor. 168–171.
M Shetty, H., Pai K, K., Mallya, N., & Pratheeksha. (2021). Fully Automated Hydroponics System for Smart Farming. International Journal of Engineering and Manufacturing, 11(4), 33–41. https://doi.org/10.5815/ijem.2021.04.04
Marisa, M., Carudin, C., & Ramdani, R. (2021). Otomatisasi Sistem Pengendalian dan Pemantauan Kadar Nutrisi Air menggunakan Teknologi NodeMCU ESP8266 pada Tanaman Hidroponik. Jurnal Teknologi Terpadu, 7, 127–134. https://doi.org/10.54914/jtt.v7i2.430
Pires de Souza, L., & Zelir Azzolin, R. (2020). Dead Zone Compensation in Direct Current Motors: A Review. 2010. https://doi.org/10.48011/asba.v2i1.1223
Ramaidani, R., Mardina, V., & Al Faraby, M. (2021). Pengaruh Nutrisi Ab Mix Terhadap Pertumbuhan Sawi Pakcoy Dan Selada Hijau Dengan Sistem Hidroponik. BIO-EDU: Jurnal Pendidikan Biologi, 6(3), 300–310. https://doi.org/10.32938/jbe.v6i3.1223
Suseno, J. E., Munandar, M. F., & Priyono, A. S. (2020). The control system for the nutrition concentration of hydroponic using web server. Journal of Physics: Conference Series, 1524(1). https://doi.org/10.1088/1742-6596/1524/1/012068
Thakur, P., Malhotra, M., & Bhagat, R. M. (2023). IoT-based Monitoring and Control System for Hydroponic Cultivation: A Comprehensive Study. https://doi.org/10.21203/rs.3.rs-2821030/v1
Wang, L. (2020). PID Control System Design and Automatic Tuning Using MATLAB/Simulink.
Yong, W. X., & Ibrahim, A. N. (2020). Field Study of PID Parameter Tuning Investigation in Peristaltic Dosing Pump Control for Use in Automated Fertilizer Mixing System. Mekatronika, 2(2), 13–22. https://doi.org/10.15282/mekatronika.v2i2.6742