智能车辆轨迹跟踪与适应性强大的非单一快速终端滑动模式控制在复杂的场景中
Min Gao1, Jing Li2, Taihong Hu1
1School of Vehicle and Energy, Yanshan University, 438 West Hebei Avenue, Qinhuangdao, 066004, People's Republic of China.
Scientific reports
|December 27, 2024
概括
本研究介绍了一种适应性强大的非单元快速终端滑动模式控制 (ARNFTSMC) 用于智能车辆轨迹跟踪. 这种新的方法确保了有限时间的融合和对不确定性的稳定性,而无需事先了解干扰极限.
科学领域:
- 智能运输系统 智能运输系统
- 控制理论 控制理论
- 机器人技术 机器人技术 机器人技术
背景情况:
- 智能汽车需要精确的轨迹跟踪,尽管复杂的非线性动态和外部干扰.
- 现有的控制方法经常与不确定性作斗争,并可能表现出不良的聊天.
研究的目的:
- 为智能车辆轨迹跟踪开发一种适应性强大的非单元快速终端滑动模式控制 (ARNFTSMC) 策略.
- 为了解决车辆动态中的不确定性和外部干扰.
- 确保有限时间的融合,并消除控制系统中的聊天.
主要方法:
- 建立路径和速度跟踪错误系统.
- 开发一种新的ARNFTSMC策略,其中包含适应纵向力和转向角度的定律.
- 利亚普诺夫稳定定理的应用在有限时间收分析中.
- 实施一个扭矩优化分布控制策略.
主要成果:
- 拟议的ARNFTSMC有效地处理不确定的非线性动态和外部干扰.
- 适应性法律不需要事先了解不确定性边界,避免奇点和喋喋不休.
- 利亚普诺夫稳定定理证实了轨迹跟踪控制系统的有限时间收.
- 数字模拟验证了该方法的有效性和稳定性.
结论:
- 开发的ARNFTSMC战略为智能车辆轨迹跟踪提供了强大而有效的解决方案.
- 该方法实现了有限时间的融合,并消除了聊天,提高了控制性能.
- 这种方法显示了现实世界智能汽车应用的巨大潜力.
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