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通过基于错误分离的合作策略,为无人驾驶水下车辆提供动态悬浮.
Xiaoli Luan1, Shenhan Yu1, Haiying Wan2
1Key Laboratory of Advanced Control for Light Industry Processes, Ministry of Education, Jiangnan University, Wuxi, China.
Communications engineering
|November 18, 2025
概括
本研究引入了一种新的无人潜艇 (UUV) 合作控制框架. 新方法提高了动态悬浮任务的精度和效率,同时降低了控制力度和改善了干扰排斥.
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:
- 无人驾驶水下车辆 (UUV) 对海洋资源利用至关重要,但由于环境不确定性和干扰,它们在精确的机动方面面临挑战.
- 现有的控制方法往往难以在动态的海底环境中平衡稳定性,效率和精度.
研究的目的:
- 为UUV开发一种新的合作控制框架,以提高动态悬浮任务的精度和效率.
- 为了最大限度地减少与滑动模式控制 (SMC) 相关的控制工作,同时保持强度.
- 应对不确定性,时间变化的干扰和非结构化的海底环境所带来的挑战.
主要方法:
- 引入一个集成线性正方体调节器 (LQR) 和滑动模式控制 (SMC) 的合作控制框架.
- 开发一个偏差分离策略,用影响函数将悬浮偏差解成特定任务和防干扰组件.
- 实时干扰估计和适应性补偿,没有事先的知识.
主要成果:
- 拟议的框架有效地减少了控制工作,并提高了长期动态悬浮的稳定性.
- 偏差分离策略使准确的实时干扰估计和补偿成为可能.
- LQR和SMC之间的合作控制可以避免性能冲突,提高补偿准确性和能源效率.
- 在对抗电流干扰的有效性已被证明,同时保持高精度的悬浮和低控制成本.
结论:
- 新的合作控制策略显著提高了UUV控制能力,用于复杂的水下任务.
- 该框架提供了一种多功能解决方案,用于在具有挑战性的海洋环境中实现精确,高效和强大的UUV操作.
- 这种方法通过提高UUV性能,为改善海洋资源利用提供了途径.
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