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Optimisation of Control Strategies for Power Shift Gearboxes

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Listed:
  • Wenlong Pan

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
    Key Laboratory of Modern Agricultural Machinery, Xinjiang Production and Construction Corps, Shihezi 832000, China)

  • Lei Wang

    (Key Laboratory of Modern Agricultural Machinery, Xinjiang Production and Construction Corps, Shihezi 832000, China)

  • Xiangdong Ni

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China
    Key Laboratory of Modern Agricultural Machinery, Xinjiang Production and Construction Corps, Shihezi 832000, China)

  • Wenqing Cai

    (College of Information Science and Technology, Shihezi University, Shihezi 832003, China)

  • Yongqiang Zhao

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Huajun Chen

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Yuangang Lin

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Yuhan Zhou

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

Abstract

This study is based on the influence of power shift control on the smoothness of cotton picker shifts and proposes an optimization method for the smoothness of power shifts with different control strategies for the gearbox. Through the structural design of the power shift mechanism control module, the hydraulic power distribution of the hydraulic system of the hydraulic travel module and its control mode are analyzed, and a regional cooperative shift control strategy is proposed in conjunction with control theory. A model of cotton picker dynamics was built using AMESim simulation software. In addition, the traditional control strategy was simulated and compared with the Statement component automatic control strategy to analyze and discuss the control deficiencies in power shift smoothness. Then, a particle swarm genetic algorithm (PSGA) was constructed by integrating the PSO algorithm and the genetic algorithm to verify the effectiveness of the algorithm in improving the dynamic performance and shift smoothness of the gearbox. The algorithm was verified using bench tests, and the algorithm improved the harvesting quality and efficiency of the cotton picker.

Suggested Citation

  • Wenlong Pan & Lei Wang & Xiangdong Ni & Wenqing Cai & Yongqiang Zhao & Huajun Chen & Yuangang Lin & Yuhan Zhou, 2023. "Optimisation of Control Strategies for Power Shift Gearboxes," Agriculture, MDPI, vol. 13(6), pages 1-19, June.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:6:p:1266-:d:1174247
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    Cited by:

    1. Huajun Chen & Meng Wang & Xiangdong Ni & Wenqing Cai & Chunfa Zhong & Haoyun Ye & Yongqiang Zhao & Wenlong Pan & Yuangang Lin, 2023. "Design of Hydrostatic Power Shift Compound Drive System for Cotton Picker Experiment," Agriculture, MDPI, vol. 13(8), pages 1-19, August.

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