自动化控制技术在拖拉机上的应用研究
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摘要
为进一步提高拖拉机的田间作业效率和拖拉机整机的作业性能,利用自动化控制技术,针对混合动力驱动控制的拖拉机控制系统进行改进。通过深入理解拖拉机的工作原理及特点,融入扰动观测机理、双重功率流理论和闭环调节功能,针对拖拉机的导航控制、变速设置和智能显示三大模块进行智能优化。测试结果表明:优化后的拖拉机导航系统误差率可降低2. 4%,变速控制灵敏度由89. 50%提高至92. 80%,智能显示准确率提高13. 67%,整车综合作业效率提高22. 26%。此结果表明:基于自动化控制技术的拖拉机控制改善效果可行,可为其他农用机械改进提供一定思路,具有较强的实际参考价值。
In order to further improve the field work efficiency and job performance of the tractor,the hybrid electric drive control system of the tractor was improved by using automatic control technology.Through the thorough understanding of the working principle and characteristics of the tractor,then integrated the disturbance observation mechanism,the dual power flow theory and the closed loop regulation function,three major modules of the tractor were analyzed and optimized one by one,which were the navigation control,the variable speed setting and the intelligent display,then the intelligent test was made,and it was concluded that the tractor navigation system error rate could be reduced by 2.4% and variable speed control sensitivity could be increased from 89.50% to 92.80%,intelligent display accuracy increased by 13.67%,and the vehicle integrated efficiency increased by 22.26% after the optimization,the results showed that the effect of the tractor control improvement was feasible based on automatic control technology,which not only could provide some ideas for other agricultural machinery,but also would be strong practical reference value.
In order to further improve the field work efficiency and job performance of the tractor,the hybrid electric drive control system of the tractor was improved by using automatic control technology.Through the thorough understanding of the working principle and characteristics of the tractor,then integrated the disturbance observation mechanism,the dual power flow theory and the closed loop regulation function,three major modules of the tractor were analyzed and optimized one by one,which were the navigation control,the variable speed setting and the intelligent display,then the intelligent test was made,and it was concluded that the tractor navigation system error rate could be reduced by 2.4% and variable speed control sensitivity could be increased from 89.50% to 92.80%,intelligent display accuracy increased by 13.67%,and the vehicle integrated efficiency increased by 22.26% after the optimization,the results showed that the effect of the tractor control improvement was feasible based on automatic control technology,which not only could provide some ideas for other agricultural machinery,but also would be strong practical reference value.
引文
[1]常传义,胡军,付强,等.拖拉机驾驶模拟器变速操纵机构的设计[J].农机化研究,2018,40(1):241-246.
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[15]陈燕呢,谢斌,刘柯,等.电动拖拉机CAN总线通信网络系统设计[J].农机化研究,2017,39(9):233-238,243.
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[18]陈松.拖拉机CAN总线组合仪表的开发[D].洛阳:河南科技大学,2016.
[19]姜月霞.农用拖拉机自动导航的非线性控制算法研究[D].镇江:江苏大学,2015.
[2]李导,张志刚,王在满,等.拖拉机滑转率无线测试系统的研制[J].农机化研究,2018,40(8):241-244.
[3]王卓,刘知祥,白晓平,等.拖拉机定速巡航系统纵向加速度跟踪控制[J].农业机械学报,2018(1):21-28.
[4]白学峰,常江雪,鲁植雄,等.基于AMESIM的拖拉机自动耕深控制系统仿真研究[J].农机化研究,2018,40(12):217-221,227.
[5]张明柱,郝晓阳,尹玉鑫.拖拉机多段液压机械无级变速器的神经网络PID控制[J].河南理工大学学报:自然科学版,2017(6):93-98.
[6]郑冰,李丽,李航,等.基于NFS云存储网关的自主导航远程控制拖拉机设计[J].农机化研究,2018,40(1):224-227,246.
[7]刘孟楠,周志立,徐立友,等.基于随机载荷功率谱的电动拖拉机复合能量系统研究[J].农业机械学报,2018(2):358-366.
[8]李宜汀,张富贵,黄海松,等.基于自适应遗传算法的双料箱施肥系统设计及实验[J].农机化研究,2018,40(8):85-90.
[9]翟志强,朱忠祥,杜岳峰,等.基于虚拟现实的拖拉机双目视觉导航试验[J].农业工程学报,2017,23:56-65.
[10]殷玥.基于嵌入式PC和物联网的无人驾驶拖拉机研究[J].农机化研究,2018,40(1):247-251.
[11]王素玉,刘站,李瑞川,等.基于土壤比阻的大功率拖拉机变权重力位综合控制研究[J].农业机械学报,2018(2):351-357.
[12]龚洪浪.基于CAN总线的拖拉机无级变速箱故障诊断系统研究[J].农机化研究,2018,40(2):257-261.
[13]承鉴,迟瑞娟,赖青青,等.基于电液悬挂系统的拖拉机主动减振控制[J].农业工程学报,2017(5):82-90.
[14]张硕,刘进一,杜岳峰,等.基于速度自适应的拖拉机自动导航控制方法[J].农业工程学报,2017(23):48-55.
[15]陈燕呢,谢斌,刘柯,等.电动拖拉机CAN总线通信网络系统设计[J].农机化研究,2017,39(9):233-238,243.
[16]王全胜.基于经济性最佳的拖拉机液压机械式无级变速器控制策略研究[D].洛阳:河南科技大学,2016.
[17]柳禄,章永年,丁为民,等.多目标驱动的拖拉机产品族外形基因设计[J].农业工程学报,2017(17):82-90.
[18]陈松.拖拉机CAN总线组合仪表的开发[D].洛阳:河南科技大学,2016.
[19]姜月霞.农用拖拉机自动导航的非线性控制算法研究[D].镇江:江苏大学,2015.