适应性整体滑动模式控制策略用于具有规定的性能的车辆排队
Yiguang Wang1,2,3, Xubin Tang1,2,3, Yongqiang Jiang1,2,3
1Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Guilin, 541006, China.
Scientific reports
|April 24, 2025
概括
本研究引入了车辆排队的新控制策略,通过管理初始跟踪错误和外部干扰来提高跟踪性能. 适应式集成滑动模式控制确保稳定,高性能排队.
科学领域:
- 控制系统工程 控制系统工程
- 机器人技术和自主系统
- 汽车工程 汽车工程
背景情况:
- 车辆排面临的挑战是外部干扰和未知的非线性影响跟踪性能.
- 现有的控制策略经常与初始跟踪错误和设计复杂性作斗争.
研究的目的:
- 为车辆排队设计一个强大的控制策略,确保弦稳定性和预定义的跟踪性能.
- 通过使控制器独立于初始跟踪错误来降低控制器设计的复杂性.
主要方法:
- 开发一种新的道规定的性能功能 (TPPF) 来管理跟踪错误的趋同.
- 实施一个适应机制来估计外部干扰.
- 使用辐射基函数神经网络 (RBFNN) 对未知的非线性进行神经适应性补偿术语的设计.
- 制定一个自适应的集成滑动模式控制 (ISMC) 策略.
主要成果:
- 在追踪错误方面,TPPF确保了更紧的融合过程.
- 适应机制和RBFNN有效地处理外部干扰和非线性.
- 拟议的自适应ISMC战略实现了预定义的跟踪性能,并确保了字符串稳定性.
结论:
- 新的自适应ISMC策略显著提高了车辆排队控制.
- 该方法通过数值模拟证明了与现有方法相比更高的性能和有效性.
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