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The Design and Analysis of Self—Balancing Adjustment Implement Leveling Control System

  • Qingfeng Yang
  • Yehua Shang
  • Siyu Liu
  • Fujie Zhang
  • Yue Cong
  • Weiqiang Fu
  • Rui Pan
  • Chunjiang Zhao
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 545)

Abstract

This article analyzed the shortcomings of the present laser land leveling machine, when it works on the uneven land. A self-balancing adjustment control system is proposed, which attempt to expand the implement level control, so as to improve and enhance the leveling precision and efficiency. This system can automatically keep the agricultural implements balance when it works in the uneven land. Real-time roll angle of the implement was obtained be a gyroscope sensor, which fixed on the center of the implement. The controller actuate the magnetic valve according to the real-time roll angle of the implement. This study provides a method for auto leveling controlling system of agricultural implement. Which can improve the flatness of the land. With this control system, the absolute roll angle of the implement, which worked on a 15° slope land has decreased 47.8%, the relative improvement is 18.6%, and the land altitude intercept is less than 1%.

Keywords

Laser land leveling machine Roll angle of the implement Self—balancing adjustment control 

Notes

Acknowledgements

Public welfare industry (agriculture) special ‘special fund for Agro-scientific research in the Public Interest’- Northeast spring corn one-time fertilization key technology research and integration (2016–2017) (201303103); The Key Research And Development Program of Shandong Province (2016CYJS03A01-1); Ministry of Agriculture 948 project - precision agriculture intelligent key equipment technology introduction and innovation (2016–2017) (2016-X26).

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Qingfeng Yang
    • 1
    • 2
    • 3
  • Yehua Shang
    • 2
  • Siyu Liu
    • 1
    • 2
  • Fujie Zhang
    • 1
  • Yue Cong
    • 2
  • Weiqiang Fu
    • 2
  • Rui Pan
    • 1
    • 2
  • Chunjiang Zhao
    • 3
  1. 1.Faculty of Modern Agricultural EngineeringKunming University of Science and TechnologyKunmingChina
  2. 2.National Research Center of Intelligent Equipment for AgricultureBeijingChina
  3. 3.Key Laboratory of Agri—Informatics Ministry of AgricultureBeijingChina

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