一个动态重新配置的水下机器人节能配置和控制分配.
Tho Dang1, Lionel Lapierre1, Rene Zapata1
1Laboratory of Informatics, Robotics and MicroElectronics (LIRMM) (UMR 5506 CNRS-UM), Université Montpellier, 161 rue Ada, CEDEX 5, 34392 Montpellier, France.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
本研究介绍了可重新配置的水下机器人的节能方法,优化了卡斯特勘探的配置和控制. 这种方法可以在任务期间节省能源,提高机器人的多功能性和在具有挑战性的环境中的性能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 海洋工程 海洋工程
- 控制系统 控制系统
背景情况:
- 动态重新配置的水下机器人为封闭环境的探索和对接提供了多功能性.
- 能源效率对于远程水下任务至关重要,特别是可重新配置的系统.
- 对于具有输入约束的冗余系统来说,控制分配是一个重大挑战.
研究的目的:
- 为动态重新配置的水下机器人提出一个节能配置和控制分配方法.
- 为了应对可重新配置的机器人系统中节能和控制的挑战,用于地勘探.
- 为了同时优化机器人配置和控制,以提高任务性能.
主要方法:
- 使用顺序二次编程 (SQP) 来最大限度地减少类似能量的标准.
- 优化考虑了机器人的限制,包括机械限制,执行器和和死区.
- 优化问题在每个采样时刻都在实时解决.
主要成果:
- 对路径跟踪和站点维护任务的模拟证明了该方法的效率.
- 拟议的方法有效地管理可重新配置的水下机器人的能源消耗.
- 实验验证证证实了节能配置和控制分配的有效性.
结论:
- 开发的方法为动态重新配置的水下机器人节能运行提供了有效的解决方案.
- 这种方法提高了水下机器人的能力,可以执行复杂的任务,例如地勘探.
- 优化配置和控制分配对于最大限度地提高可重新配置机器人系统的性能和耐用性至关重要.
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