用于农用拖拉机和拖车的模糊后退控制器,具有实验验证的路径跟踪控制
Anzhe Wang1, Yefei Wang1, Xin Ji2
1School of Agricultural Engineering, Jiangsu University, Zhenjiang, China.
Frontiers in plant science
|January 1, 2025
概括
一个新的模糊的后退控制器增强了自动拖拉机-拖车车辆 (ATTV) 路径跟踪. 这种先进的系统大大减少了拖车跟踪错误和在线时间,提高了农业操作的效率和精度.
科学领域:
- 农业工程 农业工程
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
背景情况:
- 农业拖拉机拖车 (ATTV) 的自动驾驶技术对于精密农业至关重要.
- 目前的ATTV路径跟踪专注于拖拉机指导,经常忽视拖车的限制,这可能会影响农业学要求.
研究的目的:
- 为ATTVs开发和评估一个模糊的后退路径跟踪控制器.
- 通过优先考虑拖车指导来提高ATTV的路径跟踪精度和效率.
主要方法:
- 建立了ATTV使用拖车作为Frenet坐标系中的定位中心的动态错误模型.
- 设计了一个后退控制器,通过模糊算法通过自适应增益调整来确定拖拉机前轮转向角度.
- 通过共同模拟 (MATLAB/Simulink/CarSim) 和物理平台实验验验证控制器.
主要成果:
- 拟议的控制器在模拟中将拖车的在线时间减少了36.33%.
- 实验结果显示,在U转路径跟踪过程中,平均绝对横向误差减少了65.27%,最大横向误差减少了87.54%.
- 实现了0.010的横向和0.016的绝对平均误差 (MAE),分别为1.989和2.916的绝对误差 (IAE) 的积分.
结论:
- 模糊的后退控制器有效地解决了ATTV路径跟踪挑战.
- 优先考虑拖车路径跟踪可以提高农业田间作业的质量和效率.
- 控制器显著提高了自动拖拉机-拖车车辆的准确性和运行效率.
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