对于具有不平等约束的双臂协作机器人系统的不同形态转换的适应性强有力的控制
Qilin Wu1, Kaixuan Yin2, Zicheng Zhu2
1School of Advanced Manufacturing Engineering, Hefei University, Hefei, Anhui 230601, China; Anhui Provincial Engineering Technology Research Center of Intelligent Vehicle Control and Integrated Design Technology, Hefei 230601, China.
ISA transactions
|March 14, 2026
概括
本研究介绍了双臂协作机器人的适应性强有力的控制策略,有效地管理系统不确定性和不平等约束. 该方法确保了实际的稳定性,并优化了控制参数,以提高性能和降低成本.
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
- 人工智能的人工智能
背景情况:
- 双臂协作机器人系统面临着不确定性和不平等约束的挑战.
- 现有的控制策略可能无法同时充分解决这两个问题.
研究的目的:
- 为双臂协作机器人开发一种适应性强大的控制策略.
- 有效地管理系统的不确定性和不平等的约束.
- 为了确保实际的稳定性和优化控制性能.
主要方法:
- 采用不同形态的技术来结合不平等的约束.
- 通过模糊集合理论来描述系统的不确定性.
- 开发了一个适应性强大的控制方案,以实现实际的稳定性.
- 基于模糊不确定性描述的优化控制参数.
主要成果:
- 拟议的适应性强有力的控制战略有效地解决了不确定性和不平等的限制.
- 数字模拟验证了该方案在确保实际稳定的有效性.
- 通过优化参数实现了系统性能和控制成本之间的平衡.
结论:
- 适应性强大的控制策略为双臂协作机器人提供了强大的解决方案.
- 不同形态和模糊集合理论的整合为约束和不确定性管理提供了一种系统的方法.
- 拟议的方法提高了协作机器人系统的可靠性和效率.
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