在模糊机器人操纵系统的控制设计和实验验证后,最佳的强大约束
Hao Sun1, Xin Wang1, Luchuan Tu1
1Anhui Province Key Laboratory of Digital Design and Manufacturing, Hefei 230009, China; School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
ISA transactions
|January 11, 2025
概括
本研究介绍了机器人操纵器的强有力的控制算法,解决了复杂的结构和不确定性. 该方法确保了稳定的性能,并优化了控制器收益,以提高机器人系统的可靠性.
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
- 模糊的逻辑 模糊的逻辑
背景情况:
- 机器人操纵器是复杂的机械系统,容易产生不确定性和外部干扰.
- 现有的控制方法可能会与参数变化和不可预测的环境因素作斗争.
研究的目的:
- 为机器人操纵器提出一个强大的约束,遵循控制算法.
- 用模糊集合理论来解决系统的不确定性.
- 为了保证统一的边界性 (UB) 和统一的最终边界性 (UUB) 性能.
主要方法:
- 开发了一种基于二级伺服约束的强大控制算法.
- 利用模糊集合理论来建模和管理系统的不确定性.
- 建立了一个基于模糊信息的系统性能指数函数.
- 通过最小化性能指数来优化控制器增益参数.
主要成果:
- 拟议的算法有效地控制机器人操纵器,尽管系统的不确定性.
- 均边界性 (UB) 和均终极边界性 (UUB) 的保证决定性性能.
- 数字模拟和实验结果验证了控制器的有效性和优化方法.
结论:
- 控制算法后的强大的约束为不确定的机器人操纵系统提供了可靠的解决方案.
- 模糊集合理论的整合提高了控制性能和稳定性.
- 控制器增益优化方法确保了有效和强大的机器人操作.
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