基于非线性干扰观察员的操纵器的新型滑动模式控制
Keyou Guo1, Haoze Zhang2, Caili Wei1
1School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, 100048, China.
Scientific reports
|December 27, 2024
概括
这项研究引入了一种新的滑动模式控制策略,使用非线性干扰观察器来精确追踪机器人手臂轨迹. 先进的控制器大大减少了跟踪错误,提高了准确性和响应时间.
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:
- 高性能轨迹跟踪对于机器人操纵器至关重要.
- 现有的控制策略经常与模拟错误,摩擦和外部干扰等不确定性作斗争.
- 聊天是滑动模式控制中常见的问题,影响性能.
研究的目的:
- 为高性能操纵器轨迹跟踪提出一种新的滑动模式控制策略.
- 通过补偿实时不确定性来提高稳定性和准确性.
- 为了减轻滑动模式控制中固有的喋喋不休的现象.
主要方法:
- 一个非线性干扰观察者估计了未知的系统动态来进行前进补偿.
- 控制法集成了后退,利亚普诺夫理论和全球快速终端滑动模式.
- 结合指数和功率定律的混合达到法则解决了聊天.
- 改进的失效功能取代了标志功能,以优化响应并防止超标.
主要成果:
- 模拟显示,与现有方法相比,平均平方追踪误差平均减少了16.4%.
- 在3-DOF操纵器上的实验应用使追踪精度提高了55%左右.
- 实验结果显示,反应时间减少了约45%.
结论:
- 拟议的控制策略在机器人操纵器的轨迹跟踪方面提供了卓越的性能.
- 控制器是有效的,实用的,克服了现有方法的局限性.
- 这为实现高性能机器人手臂控制提供了可行的解决方案.
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