Litcius/Paper detail

The use of a Mamdani-type fuzzy model for assessing the performance of a boom stabilization systems in a field sprayer

Zdzisław Kaliniewicz, Piotr Szczyglak, A. Lipiński, Piotr Markowski, Seweryn Lipiński

2023Scientific Reports10 citationsDOIOpen Access PDF

Abstract

Fuzzy logic models are increasingly used to control simple and complex devices, as well as entire operating systems. In this study, a fuzzy logic model was applied to assess the performance a boom stabilization system in a field sprayer. The model was tested on a field sprayer with a trapezoid system for stabilizing the sprayer boom with a length of 21 m. Measuring cables for registering the displacement of the boom's terminal segments (right and left) in the vertical and horizontal plane were installed on the sprayer. The field sprayer was connected to a tractor. The model was based on two linguistic variables: "absolute displacement of the boom's terminal segments" and "boom stability index". It was assumed that the sprayer boom was stable when the displacement of the boom's terminal segments did not exceed 0.25% of boom length. The study demonstrated that the proposed model can be reliably used to assess boom stability in real time (during field operations). The time required to achieve boom stability was more than 2.5 times shorter in the vertical than in the horizontal plane, which can be attributed mainly to the structure of the stabilization system. The proposed model is universal, and it can be applied to evaluate other boom stabilization systems in field sprayers.

Topics & Concepts

SprayerBoomDisplacement (psychology)Fuzzy logicComputer scienceDamperControl theory (sociology)Field (mathematics)Stability (learning theory)Structural engineeringSimulationMathematicsMarine engineeringEngineeringMechanical engineeringArtificial intelligenceControl (management)PsychologyMachine learningEnvironmental engineeringPsychotherapistPure mathematicsHydraulic and Pneumatic SystemsFuzzy Logic and Control SystemsVehicle Dynamics and Control Systems