Detection, Isolation, and Magnitude Estimation of Unknown Flows in Open-Channel Irrigation Systems
| Autor: | Gregory Conde, Nicanor Quijano, Carlos Ocampo-Martinez |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control, Universidad de Ibagué, Universidad de Los Andes (Colombia), Consejo Superior de Investigaciones Científicas (España) |
| Rok vydání: | 2021 |
| Předmět: |
Informàtica::Automàtica i control [Àrees temàtiques de la UPC]
General Computer Science Computer science leaks Irrigation systems Unknown flows Seepage open channel Automation Software Open channel Control theory Open canal Optimisation General Materials Science Isolation (database systems) seepage estimation business.industry Stochastic process General Engineering Linear model Leaks TK1-9971 Noise irrigation systems Electrical engineering. Electronics. Nuclear engineering Automation [Classificació INSPEC] Engineering design process business Estimation Energy (signal processing) Communication channel |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname IEEE Access, Vol 9, Pp 115348-115369 (2021) UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2021.3104610 |
| Popis: | The development of modeling and estimation strategies, useful for determining the magnitude and location of unknown flows such as seepage and leaks, appears as a valuable tool to increase the efficiency of the open-channel irrigation systems (OCIS). However, it has been identified that in OCIS, most of the strategies reported on detection, isolation, and magnitude estimation of unknown flows (DIMEUF) have been developed from linear models that do not include information about energy balances along the channels, where these balances are fundamental to differentiate changes of levels due to conduction effects, from changes of levels due to unknown flows. Therefore, in this work, a recent OCIS modeling approach, which includes mass and energy balances for each channel and non-linear hydraulic descriptions of the flows, is explored in the development of two strategies for DIMEUF based on the moving horizon estimation (MHE) approach. The first strategy is deterministic, designed under the assumption that by filtering of the measurements, the noise can be sufficiently attenuated. Therefore, the noise information is not included in the design process. On the other hand, the second strategy is stochastic, and includes remaining noise information in the design process. The developed strategies have been tested using data from a testbed implemented in a specialized software, and the results show that, in a large operation region, the proposed strategies are capable of accurately describe the channel behavior and unknown flows, and that the inclusion of the remaining noise information increases the performance of the strategies for DIMEUF. This work was supported in part by Séptima Convocatoria Interna de Investigación de la Universidad Central, in part by Convocatoria Proyectos de Investigación Conjunta Universidad de Ibagué-Universidad de los Andes (2019–2021), and in part by the Consejo Superior de Investigaciones Científicas (CSIC) Project modelado y control de sistemas de riego en canal abierto (MuYSCA) under Grant COOPA20246 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|