Tuning of PI, PD, and PID Controllers Based on Fuzzy Logic Using IoT
Downloads
Hydroponic plants require nutrients with a certain concentration according to the type of plant to be cultivated. This study aims to maintain nutrient concentration at a predetermined value. If the concentration measured is below set point, nutrients need to be added. Conversely, water is added as a diluent. PI, PD, and PID controllers are used to adjust servo angle on the water and nutrient valve, then compared to determine the type of controller that provides best response. Controller parameter values Kp, Ki, and Kd are then tuned using fuzzy logic. System then uses internet of things (IoT) so that it can be monitored remotely. The variables observed are time required to reach set point and average error generated. Based on testing, PI controller obtained the time to reach set point is t = 50 and the PID controller t = 30. While on PD controller, response did not reach set point during observation. Average error generated on PI controller is 47.95, PD controller 76.55, and PID controller 30.97 where initial concentration value is in range of 70 ppm and target set point is 400 ppm.
Gosavi, J.V. (2017) ‘Water Monitoring System for Hydroponics Agriculture’, International Journal for Research in Applied Science & Engineering Technology (IJRASET), 887(July), pp. 2321–9653. Available at: www.ijraset.com.
Hadiatna, F., Dzulfahmi, A. and Nataliana, D. (2020) ‘Analisis Penerapan Kendali Otomatis berbasis PID terhadap pH Larutan’, ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, 8(1), p. 163. Available at: https://doi.org/10.26760/elkomika.v8i1.163.
Nurmahaludin, ., Cahyono, G. and Riadi, J. (2023) ‘Comparison of PI, PD, and PID Controller in Hydroponic Plant Nutrient Concentration Control System’, pp. 863–868. Available at: https://doi.org/10.5220/0010955600003260.
Nurmahaludin, Cahyono, G.R. and Riadi, J. (2020) ‘Nutrient concentration control system in hydroponic plants based on fuzzy logic’, 3rd International Conference on Applied Science and Technology, iCAST 2020, pp. 141–146. Available at: https://doi.org/10.1109/iCAST51016.2020.9557617.
Nurmahaludin, N. and Cahyono, G. (2023) ‘Nutrient Feeding Automation System in Hydroponic Cultivation Using NodeMCU Based on PID Controller’, pp. 669–673. Available at: https://doi.org/10.5220/0011862100003575.
Sihombing, P. et al. (2018) ‘Automated hydroponics nutrition plants systems using arduino uno microcontroller based on android’, Journal of Physics: Conference Series, 978(1). Available at: https://doi.org/10.1088/1742-6596/978/1/012014.
Suseno, J.E., Munandar, M.F. and Priyono, A.S. (2020) ‘The control system for the nutrition concentration of
hydroponic using web server’, Journal of Physics: Conference Series, 1524(1). Available at: https://doi.org/10.1088/1742-6596/1524/1/012068.
Tallei TE, Rumengan IFM, Adam AA. Hidroponik Untuk Pemula. Vol 1.; 2017.
Tembe, S., Khan, S. and Acharekar, R. (2018) ‘IoT based Automated Hydroponics System’, pp. 67–71.
Umamaheswari, S. et al. (2017) ‘Integrating scheduled hydroponic system’, 2016 IEEE International Conference on Advances in Computer Applications, ICACA 2016, pp. 333–337. Available at: https://doi.org/10.1109/ICACA.2016.7887976.
