使用TECS算法优化农业移动机器人的引力节约和能源效率
Yavuz Bahadır Koca1, Barış Gökçe2, Yılmaz Aslan3
1Electrical Engineering Department, Faculty of Engineering, Afyon Kocatepe University, Afyonkarahisar, Turkey. ybkoca@gmail.com.
Scientific reports
|September 25, 2025
概括
本研究介绍了用于优化农业机器人的引力和能源使用的耕地和能源控制系统 (TECS). TECS通过监测轮子滑动率以适应土壤条件,以实现高效的耕作作业.
科学领域:
- 农业机器人农业机器人
- 控制系统工程 控制系统工程
- 土壤力学 土壤力学
背景情况:
- 高效的能源利用和引控制对于自主农业机械至关重要.
- 可变的土壤条件对保持耕作作业的最佳性能构成重大挑战.
- 现有的控制系统往往缺乏适应现场工作中遇到的动态环境因素的适应性.
研究的目的:
- 开发和验证一种新的控制算法,即耕地和能源控制系统 (TECS),用于优化农业机器人的引力和能源效率.
- 提高控制系统适应不断变化的耕作条件,包括土壤变化和障碍的适应性.
- 通过智能引管理来提高农业机器人机器人的性能.
主要方法:
- 开发了一种和能源控制系统 (TECS) 算法,专注于引力节约和能源效率.
- 利用各种土壤条件的引地形相互作用的实验数据来得出最佳的引模型.
- 实现并比较传统的PID控制器与模糊推理系统,以实现最佳的引控制.
- 集成实时监控滑动率和引变化作为农业机器人机器人的关键控制输入.
主要成果:
- 拟议的TECS算法通过优化基于滑动率的车辆速度来证明适应不同耕作条件的适应性.
- 最佳引模型是根据最大引和能源效率的引比率建立的.
- 开发的引控制器成功地弥补了土壤频谱的变化,石头冲击和系统噪声.
- 在一个四轮滑动机器人原型的实验验证证了TECS控制策略的有效性.
结论:
- 耕地和能源控制系统 (TECS) 为优化农业机器人的引力和能源管理提供了有效的解决方案.
- 通过适应动态的土壤条件和潜在的干扰,TECS提高了运营效率和稳定性.
- 该研究验证了拟议的控制算法在现实世界农业机器人应用中的实际适用性.
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