Comparative analysis of LQG and fuzzy logic controllers for pressure regulation in irrigation systems
DOI:
https://doi.org/10.37868/sei.v8i2.id804Abstract
The agricultural sector in Colombia is constantly improving, and maintaining the proper pressure in irrigation systems poses a significant challenge in ensuring uniform irrigation and improving operational performance. This paper presents a comparison of two control methods applied to a pressure control system: LQG (LQE–LQR) control and fuzzy logic. The results obtained show that both approaches significantly outperform the conventional PI controller. In the case of LQG, there was a reduction in overshoot from 10.1% to 4.9%, a decrease in settling time from 7.2 s to 4.1 s, and the elimination of oscillations, with a steady-state error close to zero. Complementarily, the fuzzy controller reduced the settling time from 4.8 s to 3.2 s, the overshoot from 13% to 4%, and the steady-state error from 0.22 psi to 0.05 psi. This analysis provides evidence of the importance of combining optimal and fuzzy control techniques in the automation of irrigation systems, which supports water sustainability and learning in intelligent control applied to hydraulic systems.
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Copyright (c) 2026 Camilo Leonardo Sandoval Rodriguez, Andres Felipe Jimenez Quezada, Nicolas Orejarena Osorio, Alvaro Javier Rodríguez-Nieves, Jesús Eduardo Contreras Naranjo, Arly Dario Rincon Quintero, Omar Lengerke
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