实用规定的时间合作路径 遵循未完善的多ASV,而不是通过间歇性控制测量速度
IEEE transactions on cybernetics
|February 19, 2026
概括
本研究提出了一种新方法,让自动驾驶表面车辆 (ASV) 在一定的时间内遵循路径. 这些算法确保了合作路径,尽管传感器的局限性和系统的不确定性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 海洋工程 海洋工程
背景情况:
- 未经调整的自动地表车辆 (ASV) 面临的挑战包括缺乏速度传感器,未建模的动力学和执行器和.
- 合作路径遵循 (CPF) 对于协调的多车辆操作至关重要,但由于这些限制而复杂化.
研究的目的:
- 调查实用的规定的时间 (PT) 合作路径 (CPF) 后,对于低调的ASVs.
- 开发算法,克服传感器的局限性和系统的不确定性,以在指定时间内同步路径.
主要方法:
- 设计了一个实用的定时速度观察器 (PTVO) 来估计无法测量的速度.
- 开发了一种合作指导法,使用无周期间歇通信进行动力控制.
- 设计了一个无周期间歇神经网络 (NN) 控制器用于动态控制,解决未建模的动态和执行器和.
- 构建了一个间歇性适应定律来估计NN重量,减少复杂性.
主要成果:
- PTVO成功估计了无法测量的速度信息.
- 合作社指导法使同步路径能够在减少通信负载的情况下遵循.
- 该NN控制器有效地处理了未建模的动力学和执行器和.
- 闭环系统在规定的时间间隔内证明了对剩余集的收.
结论:
- 拟议的算法有效地实现了对未达标的ASVs的规定的时间合作路径.
- 这些方法解决了诸如传感器限制和执行器和等实际挑战.
- 数字模拟验证了开发算法的有效性和稳定性.
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