空地协调无人群系统:用于控制设计的多任务框架
Xiuye Wang1, Huiming Wang1, Qinqin Sun2
1School of Mechanical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, China.
ISA transactions
|December 14, 2023
概括
本研究介绍了一种适应性强大的控制,用于协调无人驾驶飞行器 (UAV) 和无人地面车辆 (UGV). 控制器在不确定的群体系统中成功地管理冲突的跟踪和避免任务.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 人工智能的人工智能
- 航空航天工程 航空航天工程
背景情况:
- 协调异质无人系统 (无人机和UGV) 提出了复杂的挑战.
- 同时的跟踪和避免碰撞任务会产生冲突的控制目标.
- 系统的不确定性需要强大而适应性的控制策略.
研究的目的:
- 开发一个有效的控制设计,用于空中-地面异质无人机群系统.
- 解决四个关键任务:形成飞行,接近地面,接近地面车辆和轨迹跟踪.
- 为了在群体系统中管理看似矛盾的控制要求.
主要方法:
- 将多个任务整合到一个单一的绩效指标 (χ-指标) 中,使用创意转换.
- 设计一个适应性强有力的控制方案,包括一个强有力的控制组件和一个在线适应法.
- 数学表述以保证 χ-测量的边界性性能.
主要成果:
- 拟议的自适应性强有力的控制有效地管理集群系统的联合跟踪和回避任务.
- 控制器表现出卓越的性能,尽管存在冲突的任务要求.
- 在系统不确定性条件下实现了 χ 测量的保证边界性性能.
结论:
- 开发的控制策略成功地协调了具有冲突目标的异质无人机群.
- 适应性稳健控制为复杂的无人系统协调提供了可行的解决方案.
- 该方法为在不确定的环境中实现可靠性能提供了强大的框架.
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