莴笋播种机的智能化控制系统设计与试验

    Design and experiment of intelligent control system for lettuce seeder

    • 摘要:
      目的 针对传统莴笋人工播种效率低、作业精度差,且种子粒径小易造成开沟深度不均、播种间距难以控制等问题,设计一种基于多传感器与多电机协同控制的莴笋智能化播种控制系统。旨在填补小粒径蔬菜种子(以莴笋为代表)专用精量播种控制系统的研究空白,提升莴笋播种作业的自动化与精准化水平。
      方法 采用模块化设计思想,构建以 STM32 微控制器为核心的嵌入式硬件架构,完成控制系统软硬件开发。通过集成多模态传感单元实现环境感知信息融合处理;设计基于 PCA9685 驱动芯片与 CD4052 模拟多路选择器的多电机协同控制及编码器信号采集通道动态切换机制;提出融合姿态反馈的单级串级 PID 复合控制算法,保障系统在复杂地形条件下的作业平稳性;同时搭载 OLED 显示模块与 Android 低功耗蓝牙交互终端,实现人机便捷交互。
      结果 田间试验结果表明:该莴笋播种机在试验田中的开沟深度合格率为 77.3%,漏播率为 5.9%,出苗率达 49.1%,单趟作业总耗时 57 s,作业效率约为传统人工播种的 3 倍,且整机运行成本较传统人工播种方式显著降低。
      结论 所设计的控制系统性能满足样机研制要求,可为小粒径蔬菜精量播种装备的智能化升级提供理论依据与技术支撑。

       

      Abstract:
      Objective  To address the problems of low efficiency and poor precision in traditional manual lettuce seeding, as well as uneven furrowing depth and inconsistent seeding spacing caused by the small seed size, this paper designs an intelligent control system for lettuce seeding based on multi-sensor fusion and multi-motor coordinated control. The system aims to fill the research gap in special precision seeding control systems for small-sized vegetable seeds represented by lettuce, and to improve the automation and precision of lettuce seeding operations.
      Method Adopting a modular design concept, an embedded hardware architecture with the STM32 microcontroller as the core was constructed, and the software and hardware development of the control system was completed. Environmental perception information fusion processing was realized by integrating multi-modal sensing units. A multi-motor coordinated control and encoder signal acquisition channel dynamic switching mechanism based on the PCA9685 driver chip and CD4052 analog multiplexer was designed. A single-stage-cascade PID composite control algorithm fused with attitude feedback was proposed to ensure the operation stability of the system under complex terrain conditions. An OLED display module and an android bluetooth low energy (BLE) interactive terminal were equipped to realize convenient human-computer interaction.
      Result The results of field tests showed that in the test field, the furrow depth qualification rate of the lettuce seeder was 77.3%, the missing seeding rate was 5.9%, the emergence rate reached 49.1%, the total time-consuming for a single operation was 57 seconds, the operation efficiency was about 3 times that of traditional manual seeding, and the overall operation cost was significantly lower than that of the traditional manual seeding method.
      Conclusion The performance of the designed control system meet the requirements for prototype development and can provide a theoretical basis and technical support for the intelligent upgrading of precision seeding equipment for small-sized vegetable seeds.

       

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