滑动模式控制器使用基于非线性干扰观察员的自适应指数触及法
Ying Liu1, Gongfa Li2, Du Jiang3
1Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China; Research Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of science and Technology, Wuhan 430081, China.
这项研究引入了灵活关节操纵器的新控制方法,通过抑制干扰来提高位置跟踪的准确性和速度. 集成的非线性干扰观察器和自适应控制显著减少了轨迹误差.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 机械电子工程 机械电子工程
- 应用数学 应用数学 应用数学
背景情况:
- 灵活的关节操纵器容易受到不确定性和外部干扰的影响,使精确的位置跟踪变得复杂.
- 现有的控制方法经常在有限时间干扰抑制方面扎,并表现出控制输入的聊天.
研究的目的:
- 为灵活的关节操纵器制定先进的控制策略,以应对不确定性和外部干扰.
- 为了提高轨迹跟踪的准确性,融合速度,并减少控制聊天.
主要方法:
- 集成非线性干扰观察器 (NDOB) 进行有限时间干扰抑制.
- 使用非单元快速终端滑动模式 (NFTSM) 控制.
- 利用自适应指数达到规律 (AERL) 提高追踪性能.
主要成果:
- 模拟显示轨迹跟踪误差减少了1.3%,与最佳自适应到达规律相比,合速度得到了改善.
- 实验验证证证实轨迹跟踪误差减少了0.545%.
- 拟议的NDOB有效地在有限的时间内抑制了时间变化的干扰.
结论:
- 拟议的与AERL集成的NDOB和NFTSM控制方法为灵活的关节操纵器位置跟踪提供了卓越的性能.
- 该方法有效地减轻了不确定性和外部干扰,从而提高了准确性和更快的趋同.
- 这种方法为现实世界机器人控制应用提供了强大的解决方案.
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