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Updated: Jan 18, 2026

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Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
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通过只有关键的动态编程,为多个机器人操纵器提供最佳的滑动模式容错控制
Xiaoguang Zhang1,2, Zhou Yang1,2, Haitao Liu1,2,3
1School of Mechanical Engineering, Guangdong Ocean University, Zhanjiang 524088, China.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
这项研究引入了机器人操纵器的最佳滑动模式容错控制,提高了性能和效率. 新方法显著减少了位置误差和控制扭矩,改善了复杂环境中的动态响应.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 人工智能的人工智能
背景情况:
- 机器人操纵器面临来自外部干扰和执行器故障的挑战.
- 现有的控制方法在性能和计算效率方面可能存在局限性.
研究的目的:
- 为多个机器人操纵器开发一个最佳的滑动模式容错控制策略.
- 为了提高对干扰和执行器故障的稳定性,同时最大限度地降低计算成本.
主要方法:
- 定量规定的性能控制 (QPPC) 来管理轨迹约束.
- 适应性增益集成终端滑动模式控制 (AGITSMC) 为改进的反干扰.
- 只有关键神经网络的最佳动态编程 (CNNODP) 能够有效地学习最佳控制策略.
主要成果:
- 降低最大位置误差高达25%.
- 峰值控制扭矩降低了高达16.5%的扭矩.
- 使用Lyapunov稳定定理证明了系统的边界性和稳定性.
结论:
- 拟议的控制策略有效地提高了动态响应的准确性和能源效率.
- CNNODP提供了最佳的控制与较低的计算费用.
- 该方法为机器人系统的故障耐受性控制提供了强大的解决方案.
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