灵活操纵器使用混合后退/非线性减少顺序主动干扰排斥控制的强大的跟踪控制
Mohammed Ali1, Hossein Mirinejad1
1College of Aeronautics and Engineering, Kent State University, Kent, OH 44242, United States of America.
ISA transactions
|May 7, 2024
概括
本研究介绍了一种混合机器人控制策略,该策略结合了非线性减少顺序主动干扰排斥控制 (NRADRC) 和后退. 该方法提高了机器人系统对不确定性和非线性动态的稳定性.
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
- 非线性动力学是一种非线性动力学.
背景情况:
- 灵活关节机器人操纵器表现出复杂的非线性动态,易受不确定性的影响.
- 现有的控制策略往往难以有效地同时解决内部非线性和外部干扰.
研究的目的:
- 开发和验证单环弹性关节机器人操纵器的新型混合控制策略.
- 提高机器人系统在不确定的条件下运行的稳定性和效率.
主要方法:
- 集成非线性减少顺序主动干扰排斥控制 (NRADRC) 与后退控制.
- 使用非线性减少顺序扩展状态观察器 (NRESO) 进行增强的不确定性估计.
- 严格的全球稳定性分析使用利亚普诺夫方法.
主要成果:
- 拟议的混合控制器有效地估计和减轻非线性动态和外部干扰.
- 非线性减少顺序扩展状态观察器 (NRESO) 显示出对内部和外部不确定性的弹性提高.
- 数字模拟证实了与现有的非线性控制方法相比,性能优越,特别是在不同的有效载荷和干扰下.
结论:
- 新的混合控制策略为控制灵活关节机器人操纵器提供了强大而高效的解决方案.
- 在NRESO的支持下,NRADRC的整合和后退,显著提高了机器人控制能力.
- 经过验证的方法有望提高机器人应用程序的性能和可靠性.
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