适应式执行器容错跟踪控制器用于静态高阶完全执行系统
IEEE transactions on cybernetics
|March 3, 2025
概括
本研究为面临执行器故障的随机高阶完全执行系统 (FAS) 提供了耐故障控制. 这种新的方法确保了系统性能,尽管存在干扰和时间变化的故障.
科学领域:
- 控制系统工程 控制系统工程
- 随机系统分析 随机系统分析
- 机器人和自动化 机器人和自动化
背景情况:
- 目前对高阶全动系统 (FAS) 的现有研究主要涉及决定性模型.
- 随机干扰和执行器故障在现实世界的系统控制中带来了重大挑战.
- 确保在不利条件下可靠运行对于复杂的工程系统至关重要.
研究的目的:
- 为具有执行器故障的随机高阶全动系统 (FAS) 制定一个耐故障控制策略.
- 将随机干扰引入系统模型,增强现实性.
- 为了保证跟踪错误保持在用户定义的概率最终界限内.
主要方法:
- 在控制器配方中使用了通用的马丁盖尔技术.
- 制定了适应性补偿法,以管理时间变化的执行器故障.
- 实施了一个预先闭环策略,利用FAS方法.
主要成果:
- 为随机FAS设计了一种新型的容错等效控制器.
- 通过适应性补偿法成功解决了变时执行器故障.
- 证明追踪错误符合概率的最终界限.
结论:
- 拟议的耐故障控制方法对于具有执行器故障的随机高阶FAS有效.
- 这种方法确保了系统的性能和稳定性,在存在随机干扰和故障的情况下.
- 通过数值模拟和在旋转可方向钻井平台上的实际应用来验证.
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