【摘要】 脱粒滚筒是联合收割机的关键作业部件之一，其转速直接影响联合收割机的脱粒性能、籽粒损失率和作业质量。为提高联合收割机的脱粒效率和质量，降低滚筒堵转风险，本文提出了一种基于遗传算法的PID控制算法，以实现脱粒滚筒转速的智能调控。本文通过分析联合收割机工作部件电液复合传动过程和工作机制，基于动力学原理和经典控制理论方法建立了工作部件的泵控液压马达调速控制系统，并构建了变负载条件下动态调整目标转速的脱粒滚筒智能调速模型，最后通过仿真和田间试验验证了模型的可行性和有效性。结果表明：基于遗传算法PID控制模型在转速大幅下降时的提升效果可以达到30%以上，较好得提升了脱粒滚筒泵控液压马达调速系统的稳定性，能够满足工程设计的要求，对提升联合收割机智能化作业具有重要的参考价值。更多还原

【Abstract】 The threshing drum is one of the key operating component of the combine harvester, and its rotational speed directly affects the threshing performance, grain loss rate, and operational quality of the harvester. To improve the threshing efficiency and harvester quality and reduce the risk of drum blockage, this paper proposes a PID control algorithm based on genetic algorithm to achieve intelligent regulation of threshing drum. By analyzing the electro-hydraulic composite transmission process and working mechanism of the combine harvester’s working components, a pump-controlled hydraulic motor speed control system was established based on dynamic principles and classical control theory methods. Additionally, an intelligent speed regulation model for the threshing drum was constructed to dynamically adjust the target speed under variable load conditions. Finally, the feasibility and effectiveness of the model were verified through simulations and field tests. The results show that the genetic algorithm-based PID control model can improve the speed recovery effect by more than 30% during significant speed drops, significantly enhancing the stability of the pump-controlled hydraulic motor speed control system for the threshing drum. The model meets the requirements of engineering design and provides important reference value for advancing the intelligent operation of combine harvesters.更多还原