2026-04-17T04:27:36Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4602042026-04-15T08:36:31Zcom_2072_1033col_2072_452950

urn:hdl:2117/460204 A nonlinear state feedback tracking controller for open channel irrigation systems Arango Restrepo, Juan Pablo Duviella, Eric Etienne, Lucien Langueh, Kokou Segovia Castillo, Pablo Puig Cayuela, Vicenç Àrees temàtiques de la UPC::Informàtica::Automàtica i control Open channel irrigation systems Nonlinear control Linear parameter-varying systems The majority of human activities requires water, which is mostly transported and supplied using open channel irrigation systems (OCIS). Their optimal operation requires an accurate control to reject disturbances that can arise under day-to-day operation (e.g., rainfall, leaks, and theft) and thus guarantee user satisfaction and safety. This paper proposes the design of a control strategy, we use part of the OSL-QIB methodology previously introduced by Arango et al. (2024) with a linear parameter varying term (LPV) to handle non-linear affine terms more easily than other commonly used methods, such as Feedback Linearization. From a phenomenological point of view, the considered model to construct the nonlinear control strategy is based on material and energy balances, whose advantage is to avoid delays (very common in OCIS modeling) and capture important phenomena that occurs in the process. The proposed controller is tested in the first two pools of the Corning channel, obtaining satisfactory results (disturbance rejection and tracking). The work of this paper is partially supported by the Spanish project SEAMLESS: Sustainable learning-based Management of Multi-resource Large-scale Systems (ref. PID2023-148840OB-I00), funded by MCIN/AEI/10.13039/501100011033/FEDER, UE. Peer Reviewed Postprint (published version) 2025 Article https://www.sciencedirect.com/science/article/pii/S2405896325031374 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-148840OB-I00/ES/GESTION SOSTENIBLE Y BASADA EN APRENDIZAJE DE SISTEMAS MULTI-RECURSO DE GRAN ESCALA/ http://creativecommons.org/licenses/by-nc-nd/4.0/ Open Access Attribution-NonCommercial-NoDerivatives 4.0 International Elsevier