综合补偿函数观察器及其应用于QUAV态度的干扰-拒绝控制
IEEE transactions on cybernetics
|January 10, 2024
概括
一个新的整体补偿函数观察器 (CFO) 提高了不确定系统中干扰估计的准确性和带宽. 在四旋翼控制的干扰排斥方面,CFO的表现优于线性扩展状态观察员 (LESO) 和改进的ESO (IESO).
科学领域:
- 控制工程 控制工程 控制工程
- 机器人技术 机器人技术 机器人技术
- 系统动力学系统动力学
背景情况:
- 基于观察者的干扰排斥在控制工程中至关重要.
- 像LESO这样的现有方法在准确性,信息利用,融合和带宽方面存在局限性.
- 提高干扰估计和排斥仍然是一个活跃的研究领域.
研究的目的:
- 引入一个新型的整体补偿函数观察器 (CFO) 对于第n阶不确定系统.
- 与现有观察者相比,提高干扰估计的准确性和带宽.
- 评估基于CFO的控制系统的干扰拒绝性能.
主要方法:
- 开发了一个具有新型结构的整体补偿函数观察器 (CFO).
- 导出并量化了CFO,LESO和IESO的干扰灵敏度转移函数 (DSTF).
- 与CFO,LESO和IESO一起实施非线性极点分配控制 (NPAC),用于在干扰扭矩下控制四旋翼的姿态.
主要成果:
- 与LESO和IESO相比,CFO表现出优越的带宽和干扰估计准确度.
- 首席财务官提高了干扰的可估计顺序.
- 基于CFO的控制在四旋翼姿态控制中显示出优越的干扰排斥性能.
结论:
- 拟议的CFO在干扰估计和拒绝方面比LESO和IESO具有显著的优势.
- CFO有效地提高了控制系统的稳定性,特别是在诸如四旋翼姿态控制等应用中.
- 该研究证实了CFO在外部干扰的实际场景中提高了CFO的表现.
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