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. 2023 Oct 30;13(1):18591.
doi: 10.1038/s41598-023-46087-y.

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

Affiliations

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

Zdzisław Kaliniewicz et al. Sci Rep. .

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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Fuzzy control diagram.
Figure 2
Figure 2
System for measuring the sprayer boom's displacement from a state of equilibrium: (a) general view; (b) support arms with reel spools and cable tension springs; (c) loop screws for attaching measuring cables.
Figure 3
Figure 3
Displacement of the boom's terminal segments in two planes (speed – 8 km h−1, without an air sleeve): A—point of contact between the tractor’s rear wheel and the obstacle, B—point of contact between the sprayer unit’s wheel and the obstacle, C—point at which the sprayer boom was stabilized, t1—time directly before the tractor's rear wheel came into contact with the obstacle, t2—time interval between points at which the tractor wheel and the sprayer wheel came into contact with the obstacle, t3—time of unstable boom operation after the sprayer wheel came into contact with the obstacle, t4—time of stable boom operation.
Figure 4
Figure 4
Membership functions: (a) admissible displacement, (b) threshold displacement, (c) excessive displacement; a1, a2, a3—coefficients, dl—threshold displacement.
Figure 5
Figure 5
Membership function of the stable boom state (a) and the result function (b): p1—parameter, Ss—coordinate on the x-axis, μsmax—coordinate on the y-axis.
Figure 6
Figure 6
Membership function of threshold boom displacement (a), the result function (b), and the membership function of unstable boom state: p2 p5—coefficients; Sl1, Sl2—coordinates on the x-axis; μlmax—bounding coordinate on the y-axis.
Figure 7
Figure 7
Membership functions of boom stability states (a) and the result of rule aggregation (b) for a field sprayer boom: |dl|, |dr|—absolute values of threshold displacement of the boom's left and right terminal segments; μlmax, μnmax, μsmax—bounding coordinates on the y-axis for: threshold displacement, unstable boom state, and stable boom state.
Figure 8
Figure 8
Time of boom displacement and boom stabilization in the vertical plane (speed—6 km h−1, without an air sleeve): A—point of contact between the tractor’s rear wheel and the obstacle, B—point of contact between the sprayer unit’s wheel and the obstacle, C—point at which the sprayer boom was stabilized, t1—time directly before the tractor's rear wheel came into contact with the obstacle, t2—time interval between points at which the tractor wheel and the sprayer wheel came into contact with the obstacle, t3—time of unstable boom operation after the sprayer wheel came into contact with the obstacle, t4—time of stable boom operation.
Figure 9
Figure 9
Time of boom displacement and boom stabilization in the horizontal plane (speed—6 km h−1, without an air sleeve): A—point of contact between the tractor’s rear wheel and the obstacle, B—point of contact between the sprayer unit’s wheel and the obstacle, C—point at which the sprayer boom was stabilized, t1—time directly before the tractor's rear wheel came into contact with the obstacle, t2—time interval between points at which the tractor wheel and the sprayer wheel came into contact with the obstacle, t3—time of unstable boom operation after the sprayer wheel came into contact with the obstacle, t4—time of stable boom operation.
Figure 10
Figure 10
Stabilization system of a field sprayer boom: 1—slide bushings, 2—fixed-length bar, 3—hydraulic cylinder with adjustable length, 4—boom displacement damper in the vertical plane.

References

    1. Dubois D, Prade H. Fundamentals of Fuzzy Sets. Springer; 2000.
    1. Czabanski R, Jezewski M, Leski J. Introduction to fuzzy systems. In: Prokopowicz P, Czerniak J, Mikołajewski D, Apiecionek Ł, Ślȩzak D, editors. Theory and Applications of Ordered Fuzzy Numbers Studies in Fuzziness and Soft Computing. Springer; 2017.
    1. Gu X, Han J, Shen Q, Angelov PP. Autonomous learning for fuzzy systems: a review. Artif. Intell. Rev. 2023;56:7549–7595. doi: 10.1007/s10462-022-10355-6. - DOI
    1. Mamdani EH. Applications of fuzzy algorithms for the control of a simple dynamic plant. Proc. IEE. 1974;121(12):1585–1588. doi: 10.1049/piee.1974.0328. - DOI
    1. Mamdani EH. Advances in the linguistic synthesis of fuzzy controllers. Int. J. Man-Mach. Stud. 1976;8(6):669–678. doi: 10.1016/S0020-7373(76)80028-4. - DOI