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移动式致密成型机秸秆含水率控制系统研究

Straw Moisture Content Control System of Mobile Straw Compactor

  • 摘要: 针对秸秆致密成型机田间作业时因秸秆含水率较低而导致秸秆颗粒裂纹较大、品质差、成型率低等问题,构建了含水率控制模型,提出了一种基于SSA-Smith-LADRC的致密成型机秸秆含水率控制系统。该系统采用Smith预估器解决时滞问题,同时采用麻雀搜索算法(SSA)优化线性自抗扰控制器(LADRC)参数,达到含水率的精准调控。仿真试验表明:SSA-Smith-LADRC控制无超调,调整时间为1.53 s,含水率控制系统稳定后,受干扰恢复的时间为0.62 s,再次恢复稳态后,无振荡现象。场地试验表明:系统无超调,最大误差为2.0%,平均误差为1.5%。田间试验表明:正常作业不进行秸秆含水率调控时,秸秆颗粒成型率较低,为62.4%;人工经验控制秸秆含水率时,含水率误差变化较大,平均误差为9.83%,成型率为82.1%;含水率控制系统调控时,含水率变化的平均误差为2.82%,成型率为93.4%;SSA-Smith-LADRC相比于Smith-PID,调整时间缩短4.05 s,超调量缩小86.5%,最大误差缩小42.0%,最小误差缩小50.8%,均方差缩小60.2%。本文提出的含水率调控系统,可有效跟踪秸秆含水率变化,提高秸秆颗粒成型率。

     

    Abstract: Aiming at the problems of large crack, poor quality and low molding rate of straw particles produced by straw compactor due to its low moisture content in the field, a moisture content control model was constructed, and a moisture content control system of straw compactor was proposed based on SSA-Smith-LADRC. The system used smith predictor to solve the time-delay problem of the system, and used sparrow search algorithm(SSA) to optimize the parameters of linear active disturbance rejection controller(LADRC) to achieve accurate control of moisture content. The simulation experiment showed that SSA-Smith-LADRC had no overshoot, and the adjustment time was 1.53 s. After the water content control system was stable, the time to recover from interference was 0.62 s, and the overshoot was 0. After the stable state was restored again, there was no oscillation. The experiment in the factory showed that the system had no overshoot, the maximum error was 2.0%, and the average error was 1.5%. The experiment in the filed showed that when the moisture content of straw was not regulated in normal operation, the shaping rate of straw particles was 62.4%. When the moisture content of straw was controlled by manual experience, the error of moisture content was changed greatly, the average error was 9.83%, and the molding rate was 82.1%. When the water content control system was regulated, the average error of water content was 2.82%, and the molding rate was 93.4%. Compared with Smith-PID, SSA-Smith-LADRC reduced the adjustment time by 4.05 s, overshoot by 86.5%, maximum error by 42.0%, minimum error by 50.8%, and mean square error by 60.2%, respectively. The moisture content control system proposed can effectively track the change of straw moisture content, improve the molding rate of straw particles.

     

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