基于观察者的故障耐受性控制的形状记忆合金执行器
Mehdi Mirzaei1, Sadra Rafatnia2, Mohammad Mohammadi Shahir1
1Faculty of Mechanical Engineering, Sahand University of Technology, Tabriz, 513351996, Iran.
Scientific reports
|November 11, 2025
概括
本研究介绍了机器人操纵器中形状记忆合金执行器的容错控制方案. 该系统有效地检测和补偿执行器故障,提高机器人系统的可靠性.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 材料科学 材料科学 材料科学
- 耐故障控制控制的控制方式
背景情况:
- 形状记忆合金 (SMA) 执行器由于其独特的特性,对机器人操纵器至关重要.
- 在机器人系统中确保SMA执行器的可靠运行是具有挑战性的,因为潜在的故障和不确定性.
- 现有的耐故障控制策略可能缺乏对未建模的动力学和执行器故障的稳定性.
研究的目的:
- 为机器人操纵器中SMA执行器设计和实验实施非线性故障耐受性控制 (FTC) 方案.
- 开发一个强大的控制系统,能够处理执行器故障和未建模的动力学.
- 提高使用SMA执行器的机器人操纵器的整体可靠性和性能.
主要方法:
- 一个超扭转的滑动模式控制器 (ST-SMC) 被开发为基线控制器.
- 引入了一个非线性观察员来估计系统干扰和检测执行器故障.
- 实施了决策机制,在检测故障时重新配置控制器,利用观察员数据.
- 用利亚普诺夫稳定性分析来证明在输入约束下控制器的稳定性.
主要成果:
- 基线ST-SMC在无故障条件下证明了对不确定性和未建模的动态的稳定性.
- 非线性观察者成功估计了干扰,并实现了有效的故障检测.
- 耐故障方案成功地弥补了执行器故障,不确定性和未建模的动态.
- 实验结果显示,与被动故障耐受控制器相比,性能优越.
结论:
- 拟议的非线性FTC方案为机器人操纵器中的SMA执行器提供了强大的控制.
- 集成的故障检测和补偿机制提高了系统可靠性,并简化了控制架构.
- 实验验证证证实了开发的耐故障控制策略的有效性和优越性.
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