适应性固定时间容错轨迹跟踪控制器,用于扰乱的机器人操纵器
Zeeshan Anjum1, Zhe Sun2, Saim Ahmed3,4
1School of Mechanical and Electrical Engineering, Quanzhou University of Information Engineering, Quanzhou, China.
PloS one
|June 25, 2025
概括
这项研究为机器人操纵器提供了一种新型的容错控制,确保精确的轨迹跟踪. 连续适应性固定时间非单元终端滑动模式耐故障控制 (CAFNTSMFTC) 有效地减轻干扰和不确定性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 机械电子学是什么意思 机械电子学
背景情况:
- 机器人操纵器需要精确的轨迹控制,这是受到外部干扰,执行器故障和系统不确定性的挑战.
- 现有的控制方法经常与奇点问题作斗争,可能需要边界层,使实施复杂化.
- 确保机器人控制系统的稳健和快速融合仍然是一个重要的研究目标.
研究的目的:
- 为机器人操纵器引入一种新的固定时间轨迹控制方法.
- 为了提高轨迹的精度和强度,防止干扰,故障和不确定性.
- 开发一个持续的适应性控制策略,以减轻聊天.
主要方法:
- 使用快速固定时间非单元终端滑动面 (FFNTSS) 来实现独立于初始条件的边界收.
- 开发了基于FFNTSS和自适应方法的连续自适应固定时间非单元终端滑动模式容错控制 (CAFNTSMFTC).
- 运用Lyapunov定理对系统稳定性和滑动模式变量和跟踪错误的趋同进行严格分析.
主要成果:
- 证明了滑动模式变量和跟踪错误的固定时间收到起源的小邻里.
- 在CAFNTSMFTC方法消除了边界层的需要通过近似不确定性的上限.
- 在PUMA560机器人上的模拟验证了在各种故障和不确定性条件下精确的轨迹跟踪和快速收.
结论:
- 拟议的CAFNTSMFTC战略在机器人操纵器轨迹控制方面提供了卓越的性能.
- 该方法确保了固定时间的融合和对重大系统挑战的稳定性.
- 控制策略的连续性有效地减轻了不必要的聊天现象.
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