无人机安装的ISP通过自适应性通用化高阶ESO定期抑制干扰
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在PubMed上查看摘要
概括
此摘要是机器生成的。这项研究引入了一个新的自适应通用扩展状态观察器 (3-AGESO),以改进无人机上的惯性稳定平台 (ISP). 3-AGESO显著减少周期性干扰,提高成像和测量准确度.
科学领域
- 控制系统工程
- 机器人技术
- 航空航天工程
背景情况
- 惯性稳定平台 (ISP) 对无人驾驶飞行器 (UAV) 在实现清晰的成像和精确的测量方面至关重要.
- 互联网服务提供商的性能下降通常是由复杂的干扰造成的,尤其是周期性的干扰.
- 传统的扩展状态观察器 (ESO) 在管理时间变化的周期性干扰方面存在局限性,影响稳定性准确性.
研究的目的
- 开发一个新的观察器,以提高ISP在无人机上的性能.
- 解决传统ESO在处理周期性干扰方面的局限性.
- 提高无人机成像和测量系统的准确性.
主要方法
- 提出了第三级适应性通用扩展国家观察员 (3-AGESO).
- 将干扰频率信息直接集成到观察者的状态扩展中.
- 使用跟踪区分器与适应控制实时干扰频率重建.
主要成果
- 显著减少1Hz的速度波动,从0.075到0.005°/s.
- 从 15.11 到 3.77 像素减少了 ISP 的视觉轴震动.
- 证明有效处理周期性干扰,超过传统的ESO.
结论
- 3-AGESO有效地克服了传统ESO在管理周期性干扰方面的局限性.
- 建议的方法显著提高了ISP稳定精度.
- 在无人机成像和测量应用中实现了更高的精度.
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