适应性模糊整体滑动模式合作控制基于自由浮动近链操纵器的时间延迟估计
Zhongcan Li1,2, Yufei Zhou1,2, Mingchao Zhu1
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, No. 3888, Dong Nanhu Road, Changchun 130033, China.
本研究介绍了一种用于自由浮动空间操纵器的新型自适应模糊整体滑动模式控制器 (AFISMC). 控制器确保精确的轨迹跟踪和内部力量控制,以挑战轨道上的维修任务.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 航空航天工程 航空航天工程
- 控制系统 控制系统
背景情况:
- 轨道上维护 (OOS) 需要能够完成复杂任务的先进空间操纵器.
- 自由漂浮的操纵器面临着独特的挑战,如动态合和不固定的基础,与地面机器人不同.
研究的目的:
- 开发和验证一个强大的控制策略,用于轨迹跟踪和内部力量控制自由漂浮的密链操纵器.
- 在OOS任务中解决太空机器人的独特挑战.
主要方法:
- 利用动量保存和空间运算子代数 (SOA) 进行操纵机动力学和动力学.
- 设计了一种适应性模糊整体滑动模式控制器 (AFISMC),用于轨迹跟踪,具有时间延迟估计 (TDE).
- 实现了一种比例整数 (PI) 控制器,用于内部力量控制.
- 使用Lyapunov方法论证明了全球的非对称稳定性.
主要成果:
- 数字模拟证明了控制器在自由浮动操纵器的轨迹跟踪方面的有效性.
- 拟议的AFISMC在模拟的OOS条件下实现了所需的跟踪能力.
- 控制器成功地管理了轨迹跟踪和内部力控制.
结论:
- 开发的AFISMC提供了一个可行的解决方案,用于控制OOS的自由浮动空间操纵器.
- 控制策略提高了空间机器人操作的精度和可靠性.
- 这项研究有助于自主空间机器人的进步.
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