对工业机器人操纵器的强有力的时间延迟控制的控制增益确定方法,基于改进的状态观察员
Yu Chen1, Jianwan Ding1, Tianchang Xu1
1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
这项研究引入了一个新的强大的时间延迟控制机器人操纵器,增强工业制造. 改进的方法提供了精确的轨迹跟踪和更好的噪声抑制,以可靠地估计状态.
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
- 工业自动化 工业自动化
背景情况:
- 机器人操纵器需要高精度控制,以提高工业制造效率.
- 非线性动态,时间变化的特性和外部噪声使精确的机器人控制和状态估计变得复杂.
- 传统的时间延迟控制方法在计算强度方面面临挑战,以确定增强和有效抑制噪声.
研究的目的:
- 为机器人操纵器提出一个强大的时间延迟控制策略.
- 开发一个改进的状态观察器,用于准确的状态估计和噪声抑制.
- 为了提高工业机器人系统的轨迹跟踪精度和整体控制性能.
主要方法:
- 对机器人操纵器的线性化动态模型的推导.
- 开发一个离线计算方案,以简化控制增益的确定.
- 模型参考估计与噪声抑制技术在新状态观察者的整合.
主要成果:
- 提出的方法有效地确定控制收益,没有额外的调参数.
- 改进的状态观察器准确地获得联合状态,即使在杂的条件下.
- 实验验证表明与现有方法相比,轨迹跟踪精度和控制性能优越.
结论:
- 新的时间延迟控制策略有效地解决了机器人操纵器控制方面的挑战.
- 综合状态观察器显著提高了稳定性和状态估计准确性.
- 开发的方法为高精度工业机器人应用提供了更高效和有效的解决方案.
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