Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1179142
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dc.contributor.authorSCHUTZ, D. R.
dc.contributor.authorOLIVEIRA, V. A.
dc.contributor.authorCRUVINEL, P. E.
dc.date.accessioned2025-09-26T18:48:48Z-
dc.date.available2025-09-26T18:48:48Z-
dc.date.created2025-09-26
dc.date.issued2025
dc.identifier.citationIn: THE TENTH INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2025, 2025, Nice, France. Proceedings... Wilmington, USA: IARIA, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1179142-
dc.description—This paper presents a study on the relationship between sensors, control systems and actuators for agricultural spraying. Sensors associated with appropriate control systems can be used to support decision-making processes for nozzles in relation to the correct application of pesticides. In such a context, results related to a comparison were evaluated considering not only an adaptive generalized predictive control based on both fuzzy and sigmoid-based strategies for scheduling management but also the enhancement of the dead zone management improving actuators performance in relation to the nozzles stitching’s processes. These systems involving sensors, controllers and switching are essential for the automation of agricultural sprayers, especially for those that work with variable rate application, in management based on precision agriculture. A Sigmoid-based Generalized Predictive Control (SGPC) is proposed for flow rate regulation in agricultural pesticide sprayers. Evaluated against conventional Fuzzy Logic-based GPC (FGPC), the SGPC shows reduced Integral Absolute Error (IAE) and faster rise time despite higher overshoot in certain scenarios. Results indicate enhanced tracking accuracy and dynamic response compared to traditional fuzzy logic approaches. This framework demonstrates potential for improving precision in agricultural spraying systems. Such results can be valuable for the current machinery agricultural industry, which needs to improve productivity and quality gains and reduce negative externalities in favor of food security and sustainability
dc.language.isoeng
dc.rightsopenAccess
dc.subjectAgricultural sensors
dc.subjectAgriculture actuators
dc.subjectController
dc.subjectPredictive
dc.subjectAgricultural sprayers
dc.titleReducing the Dead Zone Time Effect of Actuators in Sensor-Based Agricultural Sprayers under S-shaped Functions Gain Scheduling Management of a Generalized Predictive Control (GPC) Strategy.
dc.typeArtigo em anais e proceedings
dc.format.extent27 p.
riaa.ainfo.id1179142
riaa.ainfo.lastupdate2025-09-26
dc.contributor.institutionUNIVERSITY OF SAO PAULO; UNIVERSITY OF SAO PAULO; PAULO ESTEVAO CRUVINEL, CNPDIA.
Aparece nas coleções:Artigo em anais de congresso (CNPDIA)

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