基于曲率优化的智能车辆路径跟踪控制方法
Qing Ye1, Chaojun Gao1, Yao Zhang1
1Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
本研究介绍了智能汽车 (IV) 的曲率优化方法,以平衡路径跟踪精度和稳定性. 新的控制策略显著减少横向偏差,并在复杂的机动中提高车辆的稳定性.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 机器人技术 机器人技术 机器人技术
背景情况:
- 智能汽车 (IV) 面临着路径跟踪精度和车身稳定性之间的冲突.
- 这种冲突是由于这两个性能指标在车辆移动过程中相互限制而产生的.
研究的目的:
- 提出基于曲率优化的智能车辆路径跟踪控制方法.
- 为了减少在IV中路径跟踪精度和机身稳定性之间的全面性能冲突.
主要方法:
- 开发了一个三度自由度的车辆动态模型.
- 包含了考虑车辆滚动的预览错误模型.
- 设计了一种利用曲率优化的路径跟踪控制方法.
主要成果:
- 在横向偏差中实现了高达84.10%的优化,在10 m/s和0.15 m-1曲率下稳定性得到了2%的改进.
- 证明了高达66.80%的横向偏差优化,在10 m/s和0.2 m-1曲率下稳定性得到了4%的改进.
- 在15 m/s和0.15 m-1曲率下,表现出20-30%的身体稳定性改善,甚至触发了边界条件.
结论:
- 曲率优化控制器有效地提高了模糊滑动模式控制器的跟踪精度.
- 拟议的方法通过在优化过程中结合车身稳定性约束来确保车辆顺运行.
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