Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy (2024)

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Abstract List of references

Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy (1) https://doi.org/10.3390/agriculture14040562 · Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy (2)

Journal: Agriculture, 2024, №4, p.562

Publisher: MDPI AG

Authors: Haojun Wen, Xiaodong Ma, Chenjian Qin, Hao Chen, Huanyu Kang

Abstract

The high clearance spray is a type of large and efficient agricultural machinery used for plant protection, and path tracking control is the key to ensure the efficient and safe operation of spray. Sliding mode control and other methods are commonly used abroad to track vehicles, while fuzzy control, neural networks and other methods are commonly used at home. However, domestic and foreign research on autonomous agricultural machinery is mainly focused on tractors and other machinery, while research on self-propelled spray in high clearance is less abundant. This paper takes the path tracking algorithm in the integrated navigation system of spray as the main research goal, studies the path tracking control algorithm for straight lines and turning curves that can realize the automatic driving of spray by establishing the path tracking algorithm for unmanned spray based on dual control strategies, designs the path tracking controller, including the preview model theoretical path tracking controller and variable domain fuzzy controller, and determines the preview model through the design of the preview model theoretical path tracking controller. The lateral and longitudinal errors of the model algorithm are analyzed, and the driving characteristics under the complex spray road surface are analyzed. The design of the variable domain fuzzy predictor theory path tracking controller is proposed, and the design of the road model selection controller is calculated and analyzed in detail, including the determination of the road roughness coefficient and the selection of the range of the difference between the average value of the excitation before and after sampling, which improves the performance of the spray path tracking algorithm. The experiment shows that the proposed path tracking control algorithm can meet the path tracking requirements of unmanned spray in the current road environment, and provide a reliable solution for the automatic control of high clearance spray.

List of references

  1. Yu, C. (2017). Research on Design Method and Characteristics of Independent Vertical Axle Air Suspension for High Clearance Spray. [Ph.D. Thesis, China Agricultural University].
  2. Ma, Comparison of the Prevention Effect of Different Plant Protection Devices by Maize Whole-Process Control Test, J. Henan Agric. Sci., № 47, с. 90
  3. Liu, R. (2016). Research of Highland Gap Corn Sprayer Drug-delivery Device. [Master’s Thesis, Shihezi University].
  4. Yu, X. (2020). Research on Roll Stability Control of High Clearance Sprayer. [Master’s Thesis, Shihezi University].
  5. Xu, M. (2020). Design and Test of Auxiliary Driving System for High-Gap Plant Protection Machine. [Master’s Thesis, Anhui Agricultural University].
  6. Na, Intelligent Operation Control System for Rice Transplanter Based on GPS Navigation, Trans. Chin. Soc. Agric. Mach., № 44, с. 200
  7. Nin, The Development Trend of Intelligent Precision Agriculture Equipment, Dev. Innov. Mach. Electr. Prod., № 24, с. 77
  8. Robert, Automatic Steering of Farm Vehicles Using GPS, Precis. Agric., № 3, с. 767
  9. Wei, GPS Automatic Navigation System Design for XDNZ630 Rice Transplanter, Trans. Chin. Soc. Agric. Mach., № 42, с. 186
  10. Zhang, Design and Experiment of Automatic Guidance Control System in Agricultural Vehicle, Trans. Chin. Soc. Agric. Mach., № 47, с. 42
  11. Yong, Tractor Automatic Navigation System Based on DGPS and Double Closed Loop Control, Trans. Chin. Soc. Agric. Mach., № 48, с. 11
  12. Zhang, S., Guo, C., Gao, Z., Sugirbay, A., Chen, J., and Chen, Y. (2020). Research on 2D Laser Automatic Navigation Control for Standardized Orchard. Appl. Sci., 10.
    Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy (3) https://doi.org/10.3390/app10082763
  13. Guo, Design of a cross-boundary warning system for soil preparation based on BDS, INMATEH Agric. Eng., № 59, с. 59
    Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy (4) https://doi.org/10.35633/INMATEH-59-07
  14. Backman, Navigation system for agricultural machines: Nonlinear Model Predictive path tracking, Comput. Electron. Agric., № 82, с. 32
    Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy (5) https://doi.org/10.1016/j.compag.2011.12.009
  15. Leonardo, Collision risk reduction of N-trailer agricultural machinery by off-track minimization, Comput. Electron. Agric., № 178, с. 105757
    Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy (6) https://doi.org/10.1016/j.compag.2020.105757
  16. Noboru, Vehicle auto mation system based on multi-sensor integration, ASAE Annu. Int. Meet., № 32, с. 73
  17. Noguchi, Path planning of anagricultural mobile robot byneural net work and genetical go rithm, Comput. Sand Electron. Agric., № 18, с. 187
    Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy (7) https://doi.org/10.1016/S0168-1699(97)00029-X
  18. Luo, Design of DGPS navigation control system for Dongfanghong X-804 tractor, Trans. Chin. Soc. Agric. Eng., № 25, с. 139
  19. Liu, Design of GNSS automatic navigation operation system for Lovol ZP9500 high clearance spray, Trans. Chin. Soc. Agric. Eng., № 34, с. 15
  20. Li, Design and Experiment of Navigation Control System for Tractor Based on CAN Bus, Trans. Chin. Soc. Agric. Mach., № 47, с. 35
  21. Jian, Design of Automatic Navigation and Drive Management System for High-clearance Sprayer, J. Agric. Mech. Res., № 43, с. 202
  22. Li, Neural Network Controller Design for Autonomous Navigation of lntelligent Vehicle Based on Vision, Trans. Chin. Soc. Agric. Mach., № 36, с. 30
  23. Zhao, Autonomous Navigation System for Agricultural Tractor Based on Self-adapted Fuzzy Control, Trans. Chin. Soc. Agric. Mach., № 41, с. 148
  24. Qing, W. (2019). Research on the Individual Soldier Navigation Technology in Complex Environment Based on MEMS/GPS Integration. [Master’s Thesis, Harbin Engineering University].
  25. Wen, A predictive control method for agricultural machinery path tracking based on preview model, Trans. Chin. Soc. Agric. Eng., № 39, с. 39
  26. Yang, Research progress on the path tracking control methods for agricultural machinery navigation, Trans. Chin. Soc. Agric. Eng., № 39, с. 1
  27. Hong, Variable Universe Stable Adaptive Fuzzy Control for Nonlinear Systems, Sci. Sin. Technol., № 33, с. 211
  28. Pan, Fuzzy Control for Path Tracking of Aircraft Traction Robot, Comput. Eng. Appl., № 55, с. 217
  29. Guang, G. (2022). Research on Path Planning and Tracking Control of Mechanical Excavator. [Master’s Thesis, Jilin University].
  30. Qi, F. (2022). Study on MPC Tracking Control of Intelligent Vehicles Considering Variable Domain Speed Planning. [Master’s Thesis, Hunan University].
  31. Jiwei, Vehicle path and speed tracking control of robot driver based on fuzzy immune PID, J. Nanjing Univ. Sci. Technol., № 41, с. 686
  32. Ying, A. (2011). Research of Pavement Roughness Based on Laser Ranging and Noise Reduction Technology. [Master’s Thesis, Northeast Forestry University].
  33. Nekoukar, Robust path tracking of a quadrotor using adaptive fuzzy terminal sliding mode control, Control Eng. Pract., № 110, с. 47
    Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy (8) https://doi.org/10.1016/j.conengprac.2021.104763

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Research on Path Tracking of Unmanned Spray Based on Dual Control Strategy (2024)
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