A method for optimising the parameters of connecting parts of a corn no-till planter

IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING
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引用次数: 0

Abstract

To suppress the influence of complex field path excitation on the seeding quality of a corn no-till planter, a method for optimising the parameters of connecting parts is proposed in this study. Firstly, a twelve degrees of freedom model of the whole tractor-planter is established, and the corresponding differential equations are solved for the vibration characteristics. Then the key parameters of vibration characteristics are determined by sensitivity analysis based on the Matlab/Simulink model. On this basis, the gray wolf optimisation algorithm is introduced to address the global optimal solutions of connecting part parameters. Finally, the effectiveness of the proposed method is verified through numerical simulations and field experiments. The simulation results indicate that compared with the results before the optimisation, the vibration accelerations of corn no-till planter in the vertical, roll and pitch directions are reduced by 15.8%, 14.3% and 16.4%, respectively. The field experiment results further verify the validity of the proposed method.

一种优化玉米免耕播种机连接部件参数的方法
为了抑制复杂田间路径激励对玉米免耕播种机播种质量的影响,本研究提出了一种优化连接部件参数的方法。首先,建立拖拉机-播种机整体的十二自由度模型,并求解相应的振动特性微分方程。然后基于 Matlab/Simulink 模型,通过灵敏度分析确定振动特性的关键参数。在此基础上,引入灰狼优化算法解决连接部件参数的全局最优解。最后,通过数值模拟和现场实验验证了所提方法的有效性。仿真结果表明,与优化前的结果相比,玉米免耕播种机在垂直、滚动和俯仰方向上的振动加速度分别降低了 15.8%、14.3% 和 16.4%。田间试验结果进一步验证了所提方法的有效性。
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来源期刊
Biosystems Engineering
Biosystems Engineering 农林科学-农业工程
CiteScore
10.60
自引率
7.80%
发文量
239
审稿时长
53 days
期刊介绍: Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.
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