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一个四旋翼机的超扭转自适应控制
Claudio Rosales1, Carlos Vacca Sisterna1, Francisco Rossomando1
1Automatic Institute (INAUT), National University of San Juan, CONICET. Avda. Libertador San Martín (Oeste) 1109, CP 5400, San Juan, Argentina.
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|August 5, 2025
概括
本研究介绍了无人驾驶飞行器 (UAV) 的强大且适应性强的控制器,将超曲滑动模式控制 (ST-SMC) 与适应性规律相结合. 这种新的方法提高了轨迹跟踪性能,尽管存在不确定性和干扰.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 航空航天工程 航空航天工程
- 控制理论 控制理论
背景情况:
- 无人驾驶飞行器 (UAV) 需要强大的控制才能可靠运行.
- 模型的不确定性和外部干扰降低了轨迹跟踪性能.
- 传统的滑动模式控制器会受到声的影响,影响控制精度.
研究的目的:
- 为无人机开发一种新的,强大的,适应性的控制方法.
- 在不确定的条件下提高轨迹跟踪精度和系统稳定性.
- 为了减轻滑动模式控制中固有的喋喋不休的现象.
主要方法:
- 集成超扭转滑动模式控制器 (ST-SMC) 与自适应控制系统.
- 控制参数的实时动态更新,以补偿未建模的动态.
- 利亚普诺夫稳定性分析以保证控制错误的趋同和局限性.
主要成果:
- 结合ST-SMC和自适应法,证明了卓越的轨迹跟踪性能.
- 实现了有效的缓解聊天现象.
- 通过实验飞行验证了对参数不确定性和外部干扰的稳定性.
结论:
- 拟议的混合控制策略为无人机轨迹跟踪提供了强大而高性能的解决方案.
- 适应性组件有效地弥补了实时系统变化.
- 实验验证证证实了综合控制方法的协同效益.
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