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适应性事件触发的机器人操纵器反机轨迹跟踪控制器
Qian Wang1, Wenyang Xu1, Zhaoyang Leng1
1School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
ISA transactions
|October 22, 2025
概括
这项研究引入了机器人操纵器的自适应事件触发控制,增强了轨迹跟踪和系统稳定性,尽管存在故障和干扰. 该方法简化了设计和分析,同时降低了网络负载.
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:
- 机器人操纵系统面临诸如不确定性,外部干扰,组件故障和输入和等挑战.
- 在存在这些问题时,确保闭环系统的稳定性对于可靠运行至关重要.
- 现有的控制方法可能需要复杂的状态空间转换或详细的非线性分析.
研究的目的:
- 为机器人操纵器提出一个自适应事件触发的反尾轨迹跟踪控制方法.
- 在各种操作挑战下确保闭环系统的稳定性.
- 与传统方法相比,简化控制器设计和稳定性分析.
主要方法:
- 在二级机器人操纵器模型上使用完全执行系统方法进行直接控制器设计.
- 实施一个适应性事件触发的反倒闭策略.
- 使用数值模拟来验证拟议的控制方法.
主要成果:
- 拟议的方法通过避免转换到一级状态空间模型来简化控制器设计.
- 稳定性分析简化了,因为它不依赖于系统非线性项的复杂性.
- 事件触发的方法有效地减少了网络通信的负担.
结论:
- 开发的自适应事件触发控制方法确保了机器人操纵器面临不确定性和故障的闭环稳定性.
- 这种方法在简化控制器设计,更容易的稳定性分析和减少通信负载方面具有优势.
- 数字模拟证实了拟议的轨迹跟踪控制战略的有效性.
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