Scholarlink

<p>With the modernization of agriculture, the demand for newly designed implements that can be efficiently pulled by tractors is growing. However, developing these implements typically requires prototyping and testing which involves time, cost and human drudgery to find the performance of the tractor-implement combination. To address this challenge, a plant model was developed using model-based design methodology in the MATLAB Simulink software platform. Plant model is designed to predict key performance parameters of tractor-implement operations, effectively simulating the behavior of different tractor-implement combinations. These parameters include slip (%), actual field capacity (ha/h), field efficiency (%), tractive efficiency (%), fuel consumption (l/h), and overall efficiency (%). This study highlights the importance of developing a highly accurate predictive model that can evaluate various tractor-implement combinations across different soil conditions, enabling performance assessment before physical prototyping and empirical testing leading to cost and time efficiency. Instrumentation was used to gather performance indicators during field operations, and the methodology for this instrumentation is also detailed in the study. To validate the model, a 45-hp Mahindra 575DI tractor was tested with a cultivator (11 tyne − 20&#xa0;cm) reversible mouldboard plow (2–60&#xa0;cm), and a disc plough (2–66&#xa0;cm). The results showed minimal error in predicting the performance indicators, with a relative deviation ranging from + 11.11% to − 10% for all parameters. The Data analysis revealed that the cultivator demonstrated slightly better performance in both overall and field efficiency, with minimal differences observed in tractive efficiency. Additionally, the cultivator experienced less slip and consumed less fuel with larger area per hour compared to the other implements. The developed plant model is user-friendly and will enable researchers to predict tractor-implement performance parameters without the need for extensive field tests.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Model-Based Design Approach to Predict Field Performance of Tractor-Implement System

  • 期刊论文

  • 发表日期：

    2025年6月18日

查看全文
  • Partha Sarathi Singha,
  • Avinash Kumar

摘要

With the modernization of agriculture, the demand for newly designed implements that can be efficiently pulled by tractors is growing. However, developing these implements typically requires prototyping and testing which involves time, cost and human drudgery to find the performance of the tractor-implement combination. To address this challenge, a plant model was developed using model-based design methodology in the MATLAB Simulink software platform. Plant model is designed to predict key performance parameters of tractor-implement operations, effectively simulating the behavior of different tractor-implement combinations. These parameters include slip (%), actual field capacity (ha/h), field efficiency (%), tractive efficiency (%), fuel consumption (l/h), and overall efficiency (%). This study highlights the importance of developing a highly accurate predictive model that can evaluate various tractor-implement combinations across different soil conditions, enabling performance assessment before physical prototyping and empirical testing leading to cost and time efficiency. Instrumentation was used to gather performance indicators during field operations, and the methodology for this instrumentation is also detailed in the study. To validate the model, a 45-hp Mahindra 575DI tractor was tested with a cultivator (11 tyne − 20 cm) reversible mouldboard plow (2–60 cm), and a disc plough (2–66 cm). The results showed minimal error in predicting the performance indicators, with a relative deviation ranging from + 11.11% to − 10% for all parameters. The Data analysis revealed that the cultivator demonstrated slightly better performance in both overall and field efficiency, with minimal differences observed in tractive efficiency. Additionally, the cultivator experienced less slip and consumed less fuel with larger area per hour compared to the other implements. The developed plant model is user-friendly and will enable researchers to predict tractor-implement performance parameters without the need for extensive field tests.