02109nam a2200241 a 450000100080000000500110000800800410001902400530006010000180011324501370013126001540026830000140042250000580043652012090049465300250170365300250172865300140175365300170176770000200178470000230180470000200182770000200184721470092024-12-10 2022 bl uuuu u00u1 u #d7 ahttps://doi.org/10.1007/978-3-031-10047-5_22DOI1 aSCHUTZ, D. R. aAn intelligent fuzzy-GPC control for agricultural sprayersbComparison between GPC and PID fuzzy controllers.h[electronic resource] aIn: Brito Palma, L., Neves Silva, R., Gomes, L. (eds) CONTROLO 2022. LNEE 930, Lecture notes in Electrical Engineering, v. 930, Springer, Cham,c2022 a272 - 284 aeBook Packages Intelligent Technologies and Robotics. aThe application of pesticides is an important stage in food production in the agroindustry. In this process, adequate regulation and control of flow and pressure via automatic control technologies plays a fundamental role in reducing costs and biological risks. The dynamics of spraying systems have nonlinearities due to variation of the sprayer fluidic resistance and the presence of dead zone in the electrohydraulic actuators. Therefore,it is necessary to develop adaptive control solutions to deal with parametric uncertainties and nonlinearities in this type of systems. In this researchwork, an adaptive fuzzy-GPC controller is proposed to regulate the flowand pressure of a boom spraying system. Hence, a basic modeling of thesprayer system and a development methodology for the application of the fuzzy-GPC controller are presented. Additionally, a comparative analysiswith a conventional GPC and a fuzzy-PID controllers is carried out. Theresults obtained show the reduction in the control action oscillations withthe proposed controller which can reduce the wear of the actuators, as wellas an increase in the stability robustness in the presence of variations in theparameters of the sprayer. aAdaptive controllers aAgricultural sprayer aFuzzy-GPC aFuzzy-PID ยท1 aMERCALDI, H. V.1 aPENALOZA, E. A. G.1 aOLIVEIRA, V. A.1 aCRUVINEL, P. E.