IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v10y2020i5p144-d352888.html
   My bibliography  Save this article

Application of Polynomial Transition Curves for Trajectory Planning on the Headlands

Author

Listed:
  • Marek Boryga

    (Department of Mechanical Engineering and Automation, Faculty of Production Engineering, University of Life Sciences in Lublin, Lublin 20-612, Poland)

  • Paweł Kołodziej

    (Department of Mechanical Engineering and Automation, Faculty of Production Engineering, University of Life Sciences in Lublin, Lublin 20-612, Poland)

  • Krzysztof Gołacki

    (Department of Mechanical Engineering and Automation, Faculty of Production Engineering, University of Life Sciences in Lublin, Lublin 20-612, Poland)

Abstract

This paper presents a method of polynomial transition curve application for making agricultural aggregate movement paths during headland turn drives as well as within the field. Four types of agricultural aggregate paths in five different variant designs are discussed. Each path is composed of only two curves, making the so-called transition bi-curve. The curvature described by the linear function as well as the third, fifth, seventh, and ninth degree polynomials was designated. Moreover, a trajectory planning algorithm in which the movement proceeds along two transition curves composing the so-called bi-curve was proposed. The simulation was carried out applying the MATLAB program in which the 4th order Runge–Kutta method was used. The results were presented by means of figures showing the proposed paths and kinematic quantity courses in the displacement function. The obtained trajectories were compared regarding the size and kinematic quantities. The trajectories, whose curvature is described by the 3° polynomial, were found to possess the smallest absolute values of maximal acceleration and jerk and to lack jerk discontinuity. The proposed solutions can be applied for planning trajectory of not only agriculture machines and aggregates but also autonomous vehicles or mobile robots.

Suggested Citation

  • Marek Boryga & Paweł Kołodziej & Krzysztof Gołacki, 2020. "Application of Polynomial Transition Curves for Trajectory Planning on the Headlands," Agriculture, MDPI, vol. 10(5), pages 1-16, May.
  • Handle: RePEc:gam:jagris:v:10:y:2020:i:5:p:144-:d:352888
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/10/5/144/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/10/5/144/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Volodymyr Bulgakov & Simone Pascuzzi & Volodymyr Nadykto & Semjons Ivanovs, 2018. "A Mathematical Model of the Plane-Parallel Movement of an Asymmetric Machine-and-Tractor Aggregate," Agriculture, MDPI, vol. 8(10), pages 1-15, October.
    2. Volodymyr Bulgakov & Simone Pascuzzi & Hristo Beloev & Semjons Ivanovs, 2019. "Theoretical Investigations of the Headland Turning Agility of a Trailed Asymmetric Implement-and-Tractor Aggregate," Agriculture, MDPI, vol. 9(10), pages 1-11, October.
    3. Šarauskis, Egidijus & Vaitauskienė, Kristina & Romaneckas, Kęstutis & Jasinskas, Algirdas & Butkus, Vidmantas & Kriaučiūnienė, Zita, 2017. "Fuel consumption and CO2 emission analysis in different strip tillage scenarios," Energy, Elsevier, vol. 118(C), pages 957-968.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simone Pascuzzi & Alexandros Sotirios Anifantis & Francesco Santoro, 2020. "The Concept of a Compact Profile Agricultural Tractor Suitable for Use on Specialised Tree Crops," Agriculture, MDPI, vol. 10(4), pages 1-10, April.
    2. Volodymyr Bulgakov & Simone Pascuzzi & Semjons Ivanovs & Francesco Santoro & Alexandros Sotirios Anifantis & Ievhen Ihnatiev, 2020. "Performance Assessment of Front-Mounted Beet Topper Machine for Biomass Harvesting," Energies, MDPI, vol. 13(14), pages 1-12, July.
    3. Simone Pascuzzi & Volodymyr Bulgakov & Francesco Santoro & Alexandros Sotirios Anifantis & Semjons Ivanovs & Ivan Holovach, 2020. "A Study on the Drift of Spray Droplets Dipped in Airflows with Different Directions," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    4. Šarauskis, Egidijus & Romaneckas, Kęstutis & Jasinskas, Algirdas & Kimbirauskienė, Rasa & Naujokienė, Vilma, 2020. "Improving energy efficiency and environmental mitigation through tillage management in faba bean production," Energy, Elsevier, vol. 209(C).
    5. Artur Przywara & Francesco Santoro & Artur Kraszkiewicz & Anna Pecyna & Simone Pascuzzi, 2020. "Experimental Study of Disc Fertilizer Spreader Performance," Agriculture, MDPI, vol. 10(10), pages 1-11, October.
    6. Zeng, Chen & Stringer, Lindsay C. & Lv, Tianyu, 2021. "The spatial spillover effect of fossil fuel energy trade on CO2 emissions," Energy, Elsevier, vol. 223(C).
    7. Volodymyr Bulgakov & Simone Pascuzzi & Valerii Adamchuk & Volodymyr Kuvachov & Ladislav Nozdrovicky, 2019. "Theoretical Study of Transverse Offsets of Wide Span Tractor Working Implements and Their Influence on Damage to Row Crops," Agriculture, MDPI, vol. 9(7), pages 1-10, July.
    8. Nisar, Shahida & Benbi, Dinesh Kumar & Toor, Amardeep Singh, 2021. "Energy budgeting and carbon footprints of three tillage systems in maize-wheat sequence of north-western Indo-Gangetic Plains," Energy, Elsevier, vol. 229(C).
    9. Volodymyr Bulgakov & Simone Pascuzzi & Semjons Ivanovs & Zinoviy Ruzhylo & Ivan Fedosiy & Francesco Santoro, 2020. "A New Spiral Potato Cleaner to Enhance the Removal of Impurities and Soil Clods in Potato Harvesting," Sustainability, MDPI, vol. 12(23), pages 1-19, November.
    10. Volodymyr Bulgakov & Simone Pascuzzi & Alexandros Sotirios Anifantis & Francesco Santoro, 2019. "Oscillations Analysis of Front-Mounted Beet Topper Machine for Biomass Harvesting," Energies, MDPI, vol. 12(14), pages 1-14, July.
    11. José Ignacio Rojas-Sola & Gloria del Río-Cidoncha & Ángel Coronil-García, 2020. "Industrial Archaeology Applied to the Study of an Ancient Harvesting Machine: Three-Dimensional Modelling and Virtual Reconstruction," Agriculture, MDPI, vol. 10(8), pages 1-23, August.
    12. Tatevik Yezekyan & Francesco Marinello & Giannantonio Armentano & Samuele Trestini & Luigi Sartori, 2018. "Definition of Reference Models for Power, Weight, Working Width, and Price for Seeding Machines," Agriculture, MDPI, vol. 8(12), pages 1-13, November.
    13. Volodymyr Bulgakov & Simone Pascuzzi & Hristo Beloev & Semjons Ivanovs, 2019. "Theoretical Investigations of the Headland Turning Agility of a Trailed Asymmetric Implement-and-Tractor Aggregate," Agriculture, MDPI, vol. 9(10), pages 1-11, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:10:y:2020:i:5:p:144-:d:352888. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.